Abstract is missing.
- Joint representation of cortical folding, structural connectivity and functional networksShu Zhang, Tuo Zhang, Xiao Li, Lei Guo 0002, Tianming Liu. 1-5 [doi]
- Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association modelJingwen Yan, Kefei Liu 0001, Huang Lv, Enrico Amico, Shannon L. Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen 0001. 6-9 [doi]
- Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysisJian Fang 0001, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang. 10-14 [doi]
- Global PDF-based temporal non-local means filtering reveals individual differences in brain connectivityJian Li, Soyoung Choi, Anand A. Joshi, Jessica L. Wisnowski, Richard M. Leahy. 15-19 [doi]
- Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge LaplacianHyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Yu Kyeong Kim, Dong Soo Lee. 20-23 [doi]
- Fully-convolutional deep-learning based system for coronary calcium score prediction from non-contrast chest CTRan Shadmi, Victoria Mazo, Orna Bregman-Amitai, Eldad Elnekave. 24-28 [doi]
- 3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinomaTianyou Dou, Lijuan Zhang, Wu Zhou 0002. 29-33 [doi]
- Computer-aided detection of pattern changes in longitudinal adaptive optics images of the retinal pigment epitheliumJianfei Liu, Haewon Jung, Johnny Tam. 34-38 [doi]
- Training a neural network based on unreliable human annotation of medical imagesYair Dgani, Hayit Greenspan, Jacob Goldberger. 39-42 [doi]
- Ocular disease detection from multiple informatics domainsYanwu Xu, Lixin Duan, Huazhu Fu, Zhuo Zhang, Wei Zhao, Tianyuan You, Tien Yin Wong, Jiang Liu. 43-47 [doi]
- Accelerated methods for low-rank plus sparse image reconstructionClaire Yilin Lin, Jeffrey A. Fessler. 48-51 [doi]
- Image-domain material decomposition using data-driven sparsity models for dual-energy CTZhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler. 52-56 [doi]
- Moiré artefact reduction in Talbot-Lau X-ray imagingChristian Hauke, Martino Leghissa, Thomas Mertelmeier, Marcus Radicke, S. Sutter, T. Weber, Gisela Anton, Ludwig Ritschl. 57-60 [doi]
- The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction qualityTae Hyung Kim, Justin P. Haldar. 61-64 [doi]
- Region of interest X-ray computed tomography via corrected back projectionMichael T. McCann, Laura Vilaclara, Michael Unser. 65-69 [doi]
- Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learningHuan Liu, Shijie Zhao, Xi Jiang, Shu Zhang, Xintao Hu, Lei Quo, Tianming Liu. 70-73 [doi]
- Exploring intrinsic networks and their interactions using group wise temporal sparse codingFangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu. 74-77 [doi]
- Modeling task fMRI data via mixture of deep expert networksHeng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu. 82-86 [doi]
- Task integration for connectome-based prediction via canonical correlation analysisSiyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost. 87-91 [doi]
- Integration of network topological features and graph Fourier transform for fMRI data analysisJunqi Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang. 92-96 [doi]
- Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selectionJuntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan. 97-100 [doi]
- Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networksHongming Li, Theodore D. Satterthwaite, Yong Fan 0001. 101-104 [doi]
- High dimensional latent Gaussian copula model for mixed data in imaging geneticsAiying Zhang, Jian Fang 0001, Vince D. Calhoun, Yu-Ping Wang. 105-109 [doi]
- Connectome priors in deep neural networks to predict autismColin J. Brown, Jeremy Kawahara, Ghassan Hamarneh. 110-113 [doi]
- A dynamic network representation of fMRI for modeling and analyzing the problem solving taskAbdullah Alchihabi, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural. 114-117 [doi]
- Compositional measures of diffusion anisotropy and asymmetryMatthew Cieslak, Wendy Meiring, Tegan Brennan, Clint Greene, Lukas J. Volz, Jean M. Vettel, Subhash Suri, Scott T. Grafton. 123-126 [doi]
- Modeling resting state fMRI data via longitudinal supervised stochastic coordinate codingWei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu. 127-131 [doi]
- A least squares approach for the reconstruction of nerve fiber orientations from tiltable specimen experiments in 3D-PLIDaniel Schmitz, Katrin Amunts, Thomas Lippert, Markus Axer. 132-135 [doi]
- Multi-stream 3D FCN with multi-scale deep supervision for multi-modality isointense infant brain MR image segmentationGuodong Zeng, Guoyan Zheng. 136-140 [doi]
- Multi-compartment model of brain tissues from T2 relaxometry MRI using gamma distributionSudhanya Chatterjee, Olivier Commowick, Onur Afacan, Simon K. Warfield, Christian Barillot. 141-144 [doi]
- InfiNet: Fully convolutional networks for infant brain MRI segmentationShubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab. 145-148 [doi]
- An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR imagesKarl Backstrom, Mahmood Nazari, Irene Yu-Hua Gu, Asgeir Store Jakola. 149-153 [doi]
- Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentationQiang Zheng, Yong Fan. 154-157 [doi]
- TBI contusion segmentation from MRI using convolutional neural networksSnehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham. 158-162 [doi]
- Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CTFrancisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stephanie Servagi-Vernat, David Morland, Dimitri Papathanassiou, Nicolas Passat. 163-167 [doi]
- Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)Noel C. F. Codella, David Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin K. Mishra, Harald Kittler, Allan Halpern. 168-172 [doi]
- Volume regularization in explicit image registration used for breast cancer bed localizationMarek Wodzinski, Andrzej Skalski, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski. 173-176 [doi]
- Automatic high resolution segmentation of the prostate from multi-planar MRIAnneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen 0001. 177-181 [doi]
- Deep learning based gastric cancer identificationYuexiang Li, Xuechen Li, Xinpeng Xie, LinLin Shen. 182-185 [doi]
- Quantifying chromosomal copy number alterations in breast ductal carcinoma in situ: A deep learning based approachKorsuk Sirinukunwattana, J. Lin, P. Lu, F. Beca, J. Peng, A. Tolwani, A. Stancu, S. Varma, R. West. 186-190 [doi]
- Generalization of prostate cancer classification for multiple sites using deep learningIda Arvidsson, Niels Christian Overgaard, Felicia-Elena Marginean, Agnieszka Krzyzanowska, Anders Bjartell, Kalle Åström, Anders Heyden. 191-194 [doi]
- HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentationYi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Li-Sheng Wang, Hao Chen, Pheng-Ann Heng, Rui-Hua Xu. 195-198 [doi]
- Deep active learning for nucleus classification in pathology imagesWei Shao, Liang Sun, Daoqiang Zhang. 199-202 [doi]
- Analysis-synthesis model learning with shared features: A new framework for histopathological image classificationXuelu Li, Vishal Monga, Arvind U. K. Rao. 203-206 [doi]
- A new CNN-based system for early diagnosis of prostate cancerIslam Reda, Babajide O. Ayinde, Mohammed M. Elmogy, Ahmed Shalaby, Moumen T. El-Melegy, Mohamed Abou El-Ghar, Ahmed Abou El-fetouh, Mohammed Ghazal, Ayman El-Baz. 207-210 [doi]
- Breast lesion segmentation software for DCE-MRI: An open source GPGPU based optimizationOlmo Zavala-Romero, Anke Meyer-Baese, Marc B. I. Lobbes. 211-215 [doi]
- Topographical reconstructions from monocular optical colonoscopy images via deep learningFaisal Mahmood, Nicholas J. Durr. 216-219 [doi]
- Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusionChunfeng Lian, Hua Li, Pierre Vera, Su Ruan. 220-223 [doi]
- Improving tumor co-segmentation on PET-CT images with 3D co-mattingZisha Zhong, Yusung Kim, Leixin Zhou, Kristin A. Plichta, Bryan Allen, John M. Buatti, Xiaodong Wu. 224-227 [doi]
- 3D fully convolutional networks for co-segmentation of tumors on PET-CT imagesZisha Zhong, Yusung Kim, Leixin Zhou, Kristin A. Plichta, Bryan Allen, John M. Buatti, Xiaodong Wu. 228-231 [doi]
- Vectorized persistent homology representations for characterizing glandular architecture in histology imagesDeepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan Beezley, David Manthey, David A. Gutman, Lee A. D. Cooper. 232-235 [doi]
- Bayesian classifiers of solid lesions with dynamic CT: Integrating enhancement density with washout density and delay intervalNan Chen, Chaan Ng, Brian Paul Hobbs. 236-239 [doi]
- How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosisMaria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci. 240-244 [doi]
- Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility studyMariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim. 245-248 [doi]
- Computer-assisted pedicle screw placement planning: Towards clinical practiceDejan Knez, Imad S. Nahle, Tomaz Vrtovec, Stefan Parent, Samuel Kadoury. 249-252 [doi]
- Reducing the effect of false positives in classification of detected clustered microcalcificationsMaria V. Sainz de Cea, Yongyi Yang, Robert M. Nishikawa. 253-256 [doi]
- Feature learning with component selective encoding for histopathology image classificationYang Song 0001, Hang Chang, Yang Gao, Sidong Liu, Donghao Zhang, Junen Yao, Wojciech Chrzanowski, Weidong Cai. 257-260 [doi]
- Pathological facial weakness detection using computational image analysisYan Zhuang, Omar Uribe, Mark McDonald, Iris Lin, Daniel Arteaga, William Dalrymple, Bradford Worrall, Andrew Southerland, Gustavo K. Rohde. 261-264 [doi]
- Towards an informational model for tuberculosis lesion discrimination on X-ray CT imagesP. M. Gordaliza, Juan José Vaquero, S. Sharpe, Manuel Desco, Arrate Muñoz-Barrutia. 265-268 [doi]
- An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networksDário Augusto Borges Oliveira, Matheus Palhares Viana. 269-272 [doi]
- Emphysema quantification on simulated X-rays through deep learning techniquesMonica Iturrioz Campo, Javier Pascau, Raúl San José Estépar. 273-276 [doi]
- Thyroid classification via new multi-channel feature association and learning from multi-modality MRI imagesRong Zhang, Qiufang Liu, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng. 277-280 [doi]
- RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scansMonika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan. 281-284 [doi]
- Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selectionValentina Giannini, Samanta Rosati, Cristina Castagneri, Laura Martincich, Daniele Regge, Gabriella Balestra. 285-288 [doi]
- Synthetic data augmentation using GAN for improved liver lesion classificationMaayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan. 289-293 [doi]
- Enhancing virtual colonoscopy with a new visualization measureMostafa Mohamad, Amal Farag, Asem M. Ali, Salwa Elshazly, Aly A. Farag, Mohamad Ghanoum. 294-297 [doi]
- Active learning with noise modeling for medical image annotationJian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li. 298-301 [doi]
- Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary priorPrachi H. Kulkarni, S. N. Merchant, Suyash P. Awate. 302-306 [doi]
- Bias correction for non-stationary noise filtering in MRITomasz Pieciak, Inaki Rabanillo-Viloria, Santiago Aja-Fernández. 307-310 [doi]
- Framelet denoising for low-dose CT using deep learningEunhee Kang, Jong Chul Ye. 311-314 [doi]
- Coded scenes for fast system calibration in magnetic particle imagingSerhat Ilbey, Can Baris Top, Alper Gungor, Emine Ulku Saritas, H. Emre Guven. 315-318 [doi]
- MRI slice stacking using manifold alignment and wave kernel signaturesJames R. Clough, Daniel R. Balfour, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King. 319-323 [doi]
- Improving perfusion defect detection with respiratory motion compensation in cardiac SPECTChao Song, Yongyi Yang, Albert J. Ramon, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King. 324-327 [doi]
- Low-dose synchrotron nano-CT via compressed sensingC. Goubet, M. Langer, Françoise Peyrin, J. F. P. J. Abascal. 328-331 [doi]
- Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularizationThanh Nguyen-Duc, Won-Ki Jeong. 332-335 [doi]
- A constrained Gauss-Newton algorithm for material decomposition in spectral computed tomographyTom Hohweiller, Nicolas Ducros, Françoise Peyrin, Bruno Sixou. 336-339 [doi]
- Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCTCong Zhao, Yuncheng Zhong, Jing Wang, Mingwu Jin. 340-343 [doi]
- Accelerated high b-value diffusion-weighted MR imaging via phase-constrained low-rank tensor modelLianli Liu, Adam Johansson, James M. Balter, Yue Cao, Jeffrey A. Fessler. 344-348 [doi]
- SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusionPeng Liu, Ruogu Fang. 349-352 [doi]
- Adversarial approach to diagnostic quality volumetric image enhancementAwais Mansoor, Teerit Vongkovit, Marius George Linguraru. 353-356 [doi]
- Image quality affects deep learning reconstruction of MRIHaris Jeelani, Jonathan Martin, Francis Vasquez, Michael Salerno, Daniel S. Weller. 357-360 [doi]
- 3D BBPConvNet to reconstruct parallel MRIKyong Hwan Jin, Michael Unser. 361-364 [doi]
- Self super-resolution for magnetic resonance images using deep networksCan Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince. 365-368 [doi]
- Model-based optimal design of a magnetic nanoparticle tomographic imaging setupRikkert Van Durme, Annelies Coene, Guillaume Crevecoeur, Luc Dupré. 369-372 [doi]
- Pixel-wise neural cell instance segmentationJingru Yi, Pengxiang Wu, Daniel J. Hoeppner, Dimitris N. Metaxas. 373-377 [doi]
- Deep contextual residual network for electron microscopy image segmentation in connectomicsChi Xiao, Jing Liu, Xi Chen, Hua Han, Chang Shu, Qiwei Xie. 378-381 [doi]
- Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selectionJohannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha. 382-386 [doi]
- Minimal annotation training for segmentation of microscopy imagesDamian J. Matuszewski, Ida-Maria Sintorn. 387-390 [doi]
- SEGMENT3D: A web-based application for collaborative segmentation of 3D images used in the shoot apical meristemThiago Vallin Spina, Johannes Stegmaier, Alexandre X. Falcão, Elliot Meyerowitz, Alexandre Cunha. 391-395 [doi]
- Comparison of segmentation methods for tissue microscopy images of glioblastoma cellsD. Baltissen, Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr. 396-399 [doi]
- A domain-adaptive two-stream U-Net for electron microscopy image segmentationRóger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua. 400-404 [doi]
- Designing deep neural networks to automate segmentation for serial block-face electron microscopyMatthew Quay, Zeyad Emam, Adam Anderson, Richard Leapman. 405-408 [doi]
- Nuclei instance segmentation with dual contour-enhanced adversarial networkDonghao Zhang, Yang Song 0001, Siqi Liu, Dagan Feng, Yue Wang, Weidong Cai. 409-412 [doi]
- Segmentation of actin-stained 3D fluorescent cells with filopodial protrusions using convolutional neural networksCarlos Castilla, Martin Maska, Dmitry V. Sorokin, Erik Meijering, Carlos Ortiz-de-Solorzano. 413-417 [doi]
- Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networksDavid Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp. 418-422 [doi]
- Image analytic algorithms for automated cell segmentation quality controlYousef Al-Kofahi, Fiona Ginty. 423-426 [doi]
- Resolving single cells in heavily clustered Nissl-stained images for the analysis of brain cytoarchitectureEnrico Grisan, Jean-Marie Graic, Livio Corain, Antonella Peruffo. 427-430 [doi]
- Cell detection on image-based immunoassaysPol del Aguila Pla, Joakim Jaldén. 431-435 [doi]
- Non-iterative simultaneous rigid registration method for serial sections of biological tissueChang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han. 436-440 [doi]
- A novel fluorescence microscopy image deconvolution approachJing Qin, Xiyu Yi, Shimon Weiss. 441-444 [doi]
- Analysing double-strand breaks in cultured cells for drug screening applications by causal inferenceJoseph Boyd, Alice Pinhiero, Elaine Del Nery, Fabien Reyal, Thomas Walter 0003. 445-448 [doi]
- Optimal design of incoherent tunable-frequency structured illumination microscope schemeJorge Sola-Pikabea, Ana Doblas, Genaro Saavedra, Manuel Martínez-Corral, C. Preza. 449-452 [doi]
- Neighborhood regularized image superresolution for applications to microscopic imagingLopamudra Mukherjee, Adib Keikhosravi, Kevin W. Eliceiri. 453-457 [doi]
- Deep neural networks for data association in particle trackingYao Yao, Ihor Smal, Erik Meijering. 458-461 [doi]
- Automatic left ventricular outflow tract classification for accurate cardiac MR planningIlkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King. 462-465 [doi]
- Calcium removal from cardiac ct images using deep convolutional neural networkSiming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie. 466-469 [doi]
- A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR imagesDongQing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen. 470-473 [doi]
- Time resolved displacement-based registration of in vivo cDTI cardiomyocyte orientationsIlya A. Verzhbinsky, Patrick Magrath, Eric Aliotta, Daniel B. Ennis, Luigi E. Perotti. 474-478 [doi]
- Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and bloodDong Yang 0005, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas. 479-483 [doi]
- Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopyTim Tsz-Kit Lau, Emilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet. 484-488 [doi]
- Spatially variant PSF modeling in confocal macroscopyAnna Jezierska, Hugues Talbot, Jean-Christophe Pesquet. 489-492 [doi]
- Intensity-based matching and registration for 3D correlative microscopy with large discrepanciesBertha Mayela Toledo Acosta, Xavier Heiligenstein, Grégoire Malandain, Patrick Bouthemy. 493-496 [doi]
- Multi-resolution based spatially adaptive multi-order total variation for image restorationSanjay Viswanath, Simon de Beco, Maxime Dahan, Muthuvel Arigovindan. 497-500 [doi]
- Accurate 3D PSF estimation from a wide-field microscopy imageJizhou Li, Feng Xue, Thierry Blu. 501-504 [doi]
- Lung segmentation in CT images using a fully convolutional neural network with multi-instance and conditional adversary lossTianyi Zhao, Dashan Gao, Jiao Wang, Zhaozheng Tin. 505-509 [doi]
- Detecting emphysema with multiple instance learningSilas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne. 510-513 [doi]
- Multi-scale segmentation using deep graph cuts: Robust lung tumor delineation in MVCBCTXiaodong Wu, Zisha Zhong, John M. Buatti, Junjie Bai. 514-518 [doi]
- Emphysema classification using a multi-view convolutional networkDavid Bermejo-Pelaez, Raúl San José Estépar, María J. Ledesma-Carbayo. 519-522 [doi]
- Automated pulmonary nodule detection using 3D deep convolutional neural networksHao Tang, Daniel R. Kim, Xiaohui Xie. 523-526 [doi]
- Non-Euclidean, convolutional learning on cortical brain surfacesMahmoud Mostapha, Sun-hyung Kim, Guorong Wu 0001, Leo Zsembik, Stephen M. Pizer, Martin Styner. 527-530 [doi]
- Changepoint analysis of putamen and thalamus subregions in premanifest huntington's diseaseXiaoqing Tan, Christopher A. Ross, Michael I. Miller, Xiaoying Tang. 531-535 [doi]
- Exploring latent structures of Alzheimer's disease via structure learningDajiang Zhu, Li Wang. 536-540 [doi]
- Weighted group sparse functional connectivity modeling for Alzheimer's disease identificationQinghua Zhao, Xiaoshuang Sang, Jianfeng Lu. 541-544 [doi]
- Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learningLyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen 0001. 545-548 [doi]
- Improving the robustness of convolutional networks to appearance variability in biomedical imagesTolga Tasdizen, Mehdi Sajjadi, Mehran Javanmardi, Nisha Ramesh. 549-553 [doi]
- Domain adaptation for biomedical image segmentation using adversarial trainingMehran Javanmardi, Tolga Tasdizen. 554-558 [doi]
- Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotationXuhui Chen, Yi Lu, Junjie Bai, Youbing Yin, Kunlin Cao, Yuwei Li, Hanbo Chen, Qi Song, Jun Wu. 559-563 [doi]
- Deep learning with ultrasound physics for fetal skull segmentationJuan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert. 564-567 [doi]
- Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learningMeet P. Shah, S. N. Merchant, Suyash P. Awate. 568-572 [doi]
- Stain normalization of histopathology images using generative adversarial networksFarhad Ghazvinian Zanjani, Svitlana Zinger, Babak Ehteshami Bejnordi, Jeroen A. W. M. van der Laak, Peter H. N. de With. 573-577 [doi]
- Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classificationKausik Das, Sailesh Conjeti, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet. 578-581 [doi]
- Adversarial domain adaptation to improve automatic breast cancer grading in lymph nodesThomas Wollmann, C. S. Eijkman, Karl Rohr. 582-585 [doi]
- Inferring a third spatial dimension from 2D histological imagesMaxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta. 586-589 [doi]
- SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology imagesSimon Graham, Nasir M. Rajpoot. 590-594 [doi]
- Latent source mining of fMRI data via deep belief networkLei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu. 595-598 [doi]
- PET-MR respiratory signal estimation using semi-supervised manifold alignmentDaniel R. Balfour, J. R. Clough, X. Chen, Martin A. Belzunce, C. Prieto, Paul K. Marsden, Andrew J. Reader, Andrew P. King. 599-603 [doi]
- GPU accelerated extraction of sparse Granger causality patternsDushyant Sahoo, Nicolas Honnorat, Christos Davatzikos. 604-607 [doi]
- A temporal deconvolution algorithm for multiecho functional MRICésar Caballero Gaudes, Peter A. Bandettini, Javier Gonzalez-Castillo. 608-611 [doi]
- Generating 3D spatio-temporal models of vocal folds vibrations from high speed digital imagingBartosz Kopczynski, Pawel Strumillo, Marcin Just, Ewa Niebudek-Bogusz. 612-615 [doi]
- Isointense infant brain segmentation with a hyper-dense connected convolutional neural networkJose Dolz, Ismail Ben Ayed, Jing Yuan 0001, Christian Desrosiers. 616-620 [doi]
- Towards integrating spatial localization in convolutional neural networks for brain image segmentationPierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin. 621-625 [doi]
- 3D cGAN based cross-modality MR image synthesis for brain tumor segmentationBiting Yu, Luping Zhou, Lei Wang, Jurgen Fripp, Pierrick Bourgeat. 626-630 [doi]
- Optimization of a variational model using deep learning: An application to brain tumor segmentationIván Ramírez, Adrián Martín, Emanuele Schiavi. 631-634 [doi]
- Automatic body localization and brain ventricle segmentation in 3D high frequency ultrasound images of mouse embryosJen-Wei Kuo, Ziming Qiu, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang. 635-639 [doi]
- Part-wise neuron segmentation using artificial templatesS. Gulyanon, N. Sharifai, Michael D. Kim, Akira Chiba, Gavriil Tsechpenakis. 640-644 [doi]
- Microscopy cell segmentation via adversarial neural networksAssaf Arbelle, Tammy Riklin-Raviv. 645-648 [doi]
- The candidate multi-cut for cell segmentationJan Funke, Chong Zhang, Tobias Pietzsch, Miguel Ángel González Ballester, Stephan Saalfeld. 649-653 [doi]
- Segmentation of cell nuclei using intensity-based model fitting and sequential convex programmingLeonid Kostrykin, Christoph Schnörr, Karl Rohr. 654-657 [doi]
- Voting-based segmentation of overlapping nuclei in clarity imagesBenjamin Quachtran, Luis de la Torre Ubieta, Marianna Yusupova, Daniel H. Geschwind, David W. Shattuck. 658-662 [doi]
- Robust autocalibrated loraks for EPI ghost correctionRodrigo A. Lobos, Ahsan Javed, Krishna S. Nayak, W. Scott Hoge, Justin P. Haldar. 663-666 [doi]
- Improving image reconstructions for simultaneous multi-slice readout-segmented diffusion MRI data with phase errorsS. K. HashemizadehKolowri, Rong-Rong Chen, Edward V. R. DiBella, Edward W. Hsu, Leslie Ying, Ganesh Adluru. 667-670 [doi]
- Model based image reconstruction using deep learned priors (MODL)Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob. 671-674 [doi]
- Probing in vivo microstructure with T1-T2 relaxation correlation spectroscopic imagingDaeun Kim, Jessica L. Wisnowski, Christopher T. Nguyen, Justin P. Haldar. 675-678 [doi]
- Denoising and deinterleaving of EPSI data using structured low-rank matrix recoveryIpshita Bhattacharya, Mathews Jacob. 679-682 [doi]
- A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infantsJing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li. 683-686 [doi]
- A deep learning framework for brain extraction in humans and animals with traumatic brain injurySnehashis Roy, Andrew Knutsen, Alexandru Korotcov, Asamoah Bosomtwi, Bernard Dardzinski, John A. Butman, Dzung L. Pham. 687-691 [doi]
- A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentationTengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu. 692-695 [doi]
- Fetal cortical parcellation based on growth patternsJing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel A. Gonzalez Balleste, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li. 696-699 [doi]
- Dense and structured representations of U-shape fiber connectivity in the central sulcusA. Pron, Lucile Brun, Christine Deruelle, Olivier Coulon. 700-703 [doi]
- Construction of spatiotemporal infant cortical surface atlas of rhesus macaqueFan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li. 704-707 [doi]
- FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brainVikash Gupta, Sophia I. Thomopoulos, Conor K. Corbin, Faisal Rashid, Paul M. Thompson. 708-711 [doi]
- Recognizing task-specific dynamic structure of the brain function from EEGAli Haddad, Laleh Najafizadeh. 712-715 [doi]
- Automatic real-time CNN-based neonatal brain ventricles segmentationPuyang Wang, Nick. G. Cuccolo, Rachana Tyagi, Ilker Hacihaliloglu, Vishal M. Patel. 716-719 [doi]
- Real-time automatic fetal brain extraction in fetal MRI by deep learningSeyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour. 720-724 [doi]
- Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networksNicha C. Dvornek, Pamela Ventola, James S. Duncan. 725-728 [doi]
- Evaluating local features in high-resolution 3D-PLI dataSharib Ali, Markus Axer, Katrin Amunts, Roland Eils, Karl Rohr. 729-733 [doi]
- GAN-based synthetic brain MR image generationChanghee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama. 734-738 [doi]
- Brain MRI super resolution using 3D deep densely connected neural networksYuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li. 739-742 [doi]
- Towards optimal linear estimation of orientation distribution functions with arbitrarily sampled diffusion MRI dataDivya Varadarajan, Justin P. Haldar. 743-746 [doi]
- Deep learning of resting state networks from independent component analysisYi-Yu Chou, Snehashis Roy, Catie Chang, John A. Butman, Dzung L. Pham. 747-751 [doi]
- Incorporating temporal dependency on ERP based BCIAziz Kocanaogullan, Fernando Quivira, Deniz Erdogmus. 752-756 [doi]
- Improved classification in tactile BCIs using a noisy label modelJames McLean, Fernando Quivira, Deniz Erdogmus. 757-761 [doi]
- Scale-bundle spline-based non-rigid registration for handling fissuresSharib Ali, Katrin Amunts, Roland Eils, Markus Axer, Karl Rohr. 762-765 [doi]
- A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networksMohamed Attia, Imali Hettiarachchi, Mohammed Hossny, Saeid Nahavandi. 766-769 [doi]
- Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancerJonathan Folmsbee, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle. 770-773 [doi]
- Diagnostic classification of lung nodules using 3D neural networksRaunak Dey, Zhongjie Lu, Yi Hong. 774-778 [doi]
- Statistical correlation of CT ventilation imaging and V/Q spect in patients with lung cancerJung won Cha, Neal Dunlap, Amir A. Amini. 779-783 [doi]
- Basal cell carcinoma detection in full field OCT images using convolutional neural networksD. Mandache, E. Dalimier, J. R. Durkin, C. Boceara, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid. 784-787 [doi]
- Tumor localization using prone to supine surface based registration for breast cancer surgical planningF. Alfano, F. Perez Garcia, J. E. Ortuno Fisac, M. Herrero Conde, O. Bueno Zamora, Felipe A. Calvo, S. Lizarraga, Andrés Santos, Javier Pascau, María J. Ledesma-Carbayo. 788-791 [doi]
- Preliminary study of CEDBT and CESM performances using simulated analytical contrast uptakesR. Sanchez de la Rosa, Ann-Katherine Carton, Pablo Milioni de Carvalho, Z. Li, S. Muller, I. Bloch. 792-795 [doi]
- A method for quantification of calponin expression in myoepithelial cells in immunohistochemical images of ductal carcinoma in situElliot Gray, Elizabeth Mitchell, Sonali Jindal, Pepper Schedin, Young-Hwan Chang. 796-799 [doi]
- Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysisSarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci. 800-804 [doi]
- Correlating cellular features with gene expression using CCAVaishnavi Subramanian, Benjamin Chidester, Jian Ma, Minh N. Do. 805-808 [doi]
- Collaborative learning based feature adaption model with applications on MRI prostate boundary delineationXiuying Wang, Hui Cui, Chaojie Zheng, Shan Zeng, Wensi Tang, Peng Gong, Dagan Feng. 809-812 [doi]
- A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learningZongqing Ma, Xi Wu 0004, Shanhui Sun, Chaoyang Xia, Zhipeng Yang, Shuo Li, Jiliu Zhou. 813-816 [doi]
- Information theory optimization based feature selection in breast mammography lesion classificationJohanna Uthoff, Jessica C. Sieren. 817-821 [doi]
- Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networksMasaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama. 822-825 [doi]
- Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR imagesChristoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl, Dorit Merhof. 826-830 [doi]
- Quantum cascade laser infrared microscopy differentiates malignant phenotypes in breast histology sectionsGarrett Winkelmaier, Mina Khoshdeli, Qingsu Cheng, Alexander Borowsky, Bahram Parvin. 831-834 [doi]
- Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinomaWenBing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu. 835-838 [doi]
- Differentiating tumor recurrence from radiation-induced necrosis: An image-based mathematical modeling frameworkSaramati Narasimhan, Michael I. Miga, Nitesh Rana, Haley B. Johnson, Albert Attia, Jared A. Weis. 839-842 [doi]
- Determining the scale of image patches using a deep learning approachSebastian Otálora, Oscar Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller. 843-846 [doi]
- Adversarial deep structured nets for mass segmentation from mammogramsWentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie. 847-850 [doi]
- Automatic knee cartilage segmentation using fully volumetric convolutional neural networks for evaluation of osteoarthritisArchit Raj, Srikrishnan Vishwanathan, Bhavya Ajani, Karthik Krishnan, Harsh Agarwal. 851-854 [doi]
- Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentationMaria Vakalopoulou, G. Chassagnon, Nikos Paragios, M.-P. Revel, Evangelia I. Zacharaki. 855-858 [doi]
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- Universal multi-modal deep network for classification and segmentation of medical imagesAhmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood. 872-876 [doi]
- Deep auto-context fully convolutional neural network for skin lesion segmentationZahra Mirikharaji, Saeed Izadi, Jeremy Kawahara, Ghassan Hamarneh. 877-880 [doi]
- Generative adversarial networks to segment skin lesionsSaeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, Ghassan Hamarneh. 881-884 [doi]
- Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networksZishun Feng, Dong Nie, Li Wang, Dinggang Shen. 885-888 [doi]
- Orchestral fully convolutional networks for small lesion segmentation in brain MRIBotian Xu, Yaqiong Chai, Cristina M. Galarza, Chau Q. Vu, Benita Tamrazi, Bilwaj Gaonkar, Luke Macyszyn, Thomas D. Coates Jr., Natasha Lepore, John C. Wood. 889-892 [doi]
- Fully automatic segmentation of lumbar vertebrae from CT images using cascaded 3D fully convolutional networksRens Janssens, Guodong Zeng, Guoyan Zheng. 893-897 [doi]
- Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network priorGopalkrishna Veni, Mehdi Moradi, Hakan Bulu, Girish Narayan, Tanveer F. Syeda-Mahmood. 898-902 [doi]
- Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemesZhe Quo, Xiang Li, Heng Huang, Ning Quo, Quanzheng Li. 903-907 [doi]
- Deep compressive macroscopic fluorescence lifetime imagingRuoyang Yao, Marien Ochoa, Xavier Intes, Pingkun Yan. 908-911 [doi]
- NeuroBFD: Size-independent automated classification of neurons using conditional distributions of morphological featuresTamal Batabyal, Andrea Vaccari, Scott T. Acton. 912-915 [doi]
- Detection of epithelial versus mesenchymal regions in 2D images of tumor biopsies using shearletsYiran Li, Stephen J. Lockett, Robert J. Kinders, Wojciech Czaja. 916-920 [doi]
- Denoising of short exposure transmission electron microscopy images for ultrastructural enhancementBuda Bajic, Amit Suveer, Anindya Gupta, Ivana Pepic, Joakim Lindblad, Natasa Sladoje, Ida-Maria Sintorn. 921-925 [doi]
- Deep feature representation for the computational analytics of 3D neuronal morphologyZhongyu Li, Chaowei Fang, Shaoting Zhang. 926-929 [doi]
- Classification of the fibronectin variants with curveletsAnca-Ioana Grapa, Raphael Meunier, Laure Blanc-Féraud, Georgios Efthymiou, Sebastien Schaub, Agata Radwanska, Ellen Van Obberghen-Schilling, Xavier Descombes. 930-933 [doi]
- A new registration approach for dynamic analysis of calcium signals in organsPeixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen. 934-937 [doi]
- Bayesian joint super-resolution, deconvolution, and denoising of images with Poisson-Gaussian noiseQ. Gao, Simon Eck, J. Matthias, Inn Chung, J. Engelhardt, Karsten Rippe, Karl Rohr. 938-942 [doi]
- Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movementsYasmin M. Kassim, Noor M. Al-Shakarji, Emilia Asante, Anand Chandrasekhar, Kannappan Palaniappan. 943-947 [doi]
- Semi-supervised learning for cell tracking in microscopy imagesNisha Ramesh, Tolga Tasdizen. 948-951 [doi]
- A sparse-to-dense method for 3D optical flow estimation in 3D light-microscopy image sequencesSandeep Manandhar, Patrick Bouthemy, Erik Welf, Philippe Roudot, Charles Kervrann. 952-956 [doi]
- Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy imagesChristian Ritter, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr. 957-960 [doi]
- Detection and tracking of migrating oligodendrocyte progenitor cells from in vivo fluorescence time-lapse imaging dataYinxue Wang, Maria Ali, Yue Joseph Wang, Sarah Kucenas, Guoqiang Yu. 961-964 [doi]
- Combining morphological and migration profiles of in vitro time-lapse dataTim Becker, Juan C. Caicedo, Shantanu Singh, Markus Weckmann, Anne E. Carpenter. 965-968 [doi]
- Generative spatiotemporal modeling of neutrophil behaviorNarita Pandhe, Balazs Rada, Shannon Quinn. 969-972 [doi]
- Accurate estimation of intracellular dynamics and underlying spatial structures using hierarchical trajectory smoothingIhor Smal, Niels Galjart, Erik Meijering. 973-976 [doi]
- Multi-channel boosting and multi-scale localization-based tracking of dense malarial sporozoitesAstha Jaiswal, Konrad Beyer, Friedrich Frischknecht, Karl Rohr. 977-980 [doi]
- Unsupervised discovery of toxoplasma gondii motility phenotypesMojtaba Sedigh Fazli, Stephen A. Velia, Silvia N. J. Moreno, Shannon Quinn. 981-984 [doi]
- Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infantsIslem Rekik, Gang Li, Weili Lin, Dinggang Shen. 985-989 [doi]
- Sparse description of the cortical surface pediatric development: A sulcal pits studyIrene Kaltenmark, L. Brun, Guillaume Auzias, J. Lefevre, Christine Deruelle, Olivier Coulon. 990-993 [doi]
- Quantitative analysis and automatic classification of skull deformity based on combined two- and three-dimensional shape indicesMin Jin Lee, Helen Hong, Kyu Won Shim, Yong Oock Kim. 994-997 [doi]
- Automatic extraction of interdental gingiva regions for accurate statistical shape from shading-based reconstruction of human jawMohamad Ghanoum, Asem M. Ali, Salwa Elshazly, Islam Alkabbany, Aly A. Farag. 998-1001 [doi]
- Polar appearance models: A fully automatic approach for femoral model initialization in MRID. D. Pham, Cosmin Adrian Morariu, Tobias Terheiden, S. Warwas, Stefan Landgräber, M. Jager, Josef Pauli. 1002-1005 [doi]
- Shape analysis and tracking of migrating macrophagesJosé Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro. 1006-1009 [doi]
- Estimating shape correspondence for populations of objects with complex topologyJames Fishbaugh, Laura Pascal, Luke Fischer, Tung Nguyen, Celso Boen, Joao Goncalves, Guido Gerig, Beatriz Paniagua. 1010-1013 [doi]
- 4D continuous medial representation by geodesic shape regressionSungmin Hong, James Fishbaugh, Guido Gerig. 1014-1017 [doi]
- Recent developments in spectral-based ultrasonic tissue characterizationAndres Coila, Gabriela Torres, Julien Rouyer, Sara Aristizabal, Matthew W. Urban, Roberto J. Lavarello. 1018-1021 [doi]
- Unsupervised body part regression via spatially self-ordering convolutional neural networksKe Yan, Le Lu, Ronald M. Summers. 1022-1025 [doi]
- Spatial temporal GRU convnets for vision-based real time epileptic seizure detectionZhou Fang, Howan Leung, Chiu-sing Choy. 1026-1029 [doi]
- Data-driven fiber tractography with neural networksViktor Wegmayr, Giacomo Giuliari, Stefan Holdener, Joachim M. Buhmann. 1030-1033 [doi]
- Automatic detection of eloquent axonal pathways in diffusion tractography using intracanial electrical stimulation mapping and convolutional neural networksHaotian Xu, Ming Dong, Yasuo Nakai, Eishi Asano, Jeong-Won Jeong. 1034-1037 [doi]
- Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptationAli Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood. 1038-1042 [doi]
- A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlinesFangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu. 1043-1047 [doi]
- Infant brain development prediction with latent partial multi-view representation learningChangqing Zhang, Ehsan Adelv, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen. 1048-1051 [doi]
- Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regressionYannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes 0001. 1052-1055 [doi]
- Construction of spatiotemporal neonatal cortical surface atlases using a large-scale datasetZhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen. 1056-1059 [doi]
- White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connectionsDakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura. 1060-1064 [doi]
- Forward-backward splitting in deformable image registration: A demons approachMichael Ebner, Marc Modat, Sebastiano Ferraris, Sébastien Ourselin, Tom Vercauteren. 1065-1069 [doi]
- Label-driven weakly-supervised learning for multimodal deformarle image registrationYipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren. 1070-1074 [doi]
- Non-rigid image registration using self-supervised fully convolutional networks without training dataHongming Li, Yong Fan 0001. 1075-1078 [doi]
- Incremental B-spline deformation model for geometric graph matchingMiguel Amável Pinheiro, Jan Kybic. 1079-1082 [doi]
- Statistically-constrained robust diffeomorphic registrationKe Zeng, Aristeidis Sotiras, Christos Davatzikos. 1083-1087 [doi]
- Prediction of paravalvular leak post transcatheter aortic valve replacement using a convolutional neural networkZih Huei Wang, Geet Lahoti, Kan (Kevin) Wang, Shizhen Liu, Chuck Zhang, Ben Wang, Chien-Wei Wu, Mani Vannan, Zhen Qian. 1088-1091 [doi]
- Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scansJiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers. 1092-1095 [doi]
- Anatomical data augmentation for CNN based pixel-wise classificationAvi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan. 1096-1099 [doi]
- Self-learning to detect and segment cysts in lung CT images without manual annotationLing Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao. 1100-1103 [doi]
- Fully convolutional structured LSTM networks for joint 4D medical image segmentationYang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig. 1104-1108 [doi]
- Joint learning for pulmonary nodule segmentation, attributes and malignancy predictionBotong Wu, Zhen Zhou, Jianwei Wang, Yizhou Wang. 1109-1113 [doi]
- Silver standard masks for data augmentation applied to deep-learning-based skull-strippingOeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo. 1114-1117 [doi]
- Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion imagesChristian Lucas, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich. 1118-1121 [doi]
- Inter-vertebral disk modelling from pairs of segmented vertebral models using trainable pre-processing networksMahsa Shakeri, Imad S. Nahle, Eric Finley, Samuel Kadoury. 1122-1125 [doi]
- A multi-task framework with feature passing module for skin lesion classification and segmentationSheng Chen, Zhe Wang, Jianping Shi, Bin Liu, Nenghai Yu. 1126-1129 [doi]
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- Automatic tracking of multiple zebrafish larvae with resilience against segmentation errorsXiaoying Wang, Eva Cheng, Ian S. Burnett, Richardt H. Wilkinson, Margaret Lech. 1157-1160 [doi]
- Ultrasound imaging for identifying dynamics of soft tissueDaisuke Yamada, Alperen Degirmenci, Robert D. Howe. 1161-1165 [doi]
- Restoration of ultrasonic images using non-linear system identification and deconvolutionMohamad Hourani, Adrian Basarab, Denis Kouame, Jean-Marc Girault, Jean-Yves Tourneret. 1166-1169 [doi]
- Automatic kidney segmentation in 3D pediatric ultrasound images using deep neural networks and weighted fuzzy active shape modelPooneh R. Tabrizi, Awais Mansoor, Juan J. Cerrolaza, James Jago, Marius George Linguraru. 1170-1173 [doi]
- Simulating patho-realistic ultrasound images using deep generative networks with adversarial learningFrancis Tom, Debdoot Sheet. 1174-1177 [doi]
- Multi-rate higher order singular value decomposition for enhanced non-contrast ultrasound Doppler imaging of slow flowMahdi Bayat, Azra Alizad, Mostafa Fatemi. 1178-1181 [doi]
- Direct strain estimation in ultrasound elastography using a novel dynamic programming approachHossein Khodadadi, Amir G. Aghdam, Hassan Rivaz. 1182-1186 [doi]
- Regularization methods for solving third-order volterra filter with improved convergence speed: In-vivo applicationJames Cunningham, Yi Zheng, Thyagarajan Subramanian, Mohamed Almekkawy. 1187-1190 [doi]
- An intuitive muscle-computer interface using ultrasound sensing and Markovian state transitionsAnanya S. Dhawan, Jana Kosecka, Huzefa Rangwala, Siddhartha Sikdar. 1191-1194 [doi]
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- vibroEEG: Improved EEG source reconstruction by combined acoustic-electric imagingE. Tsizin, Mordekhay Medvedovsky, K. A. Bronstein. 1199-1202 [doi]
- Automatic needle localization in 3D ultrasound images for brachytherapyHatem Younes, Sandrine Voros, Jocelyne Troccaz. 1203-1207 [doi]
- Deep dictionary-transform learning for image reconstructionSaiprasad Ravishankar, Anish Lahiri, Cameron Blocker, Jeffrey A. Fessler. 1208-1212 [doi]
- MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imagingUkash Nakarmi, Konstantinos Slavakis, Leslie Ying. 1213-1216 [doi]
- Adversarial synthesis learning enables segmentation without target modality ground truthYuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman. 1217-1220 [doi]
- Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentationChaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan. 1221-1224 [doi]
- ISOODL: Instance segmentation of overlapping biological objects using deep learningAnton Böhm, Annekathrin Ucker, Tim Jager, Olaf Ronneberger, Thorsten Falk. 1225-1229 [doi]
- Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scansZhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao. 1230-1233 [doi]
- Global probabilistic models for enhancing segmentation with convolutional networksMengran Fan, Jens Rittscher. 1234-1238 [doi]
- Graph slepians to strike a balance between local and global network interactions: Application to functional brain imagingThomas A. W. Bolton, Younes Farouj, Silvia Obertino, Dimitri Van De Ville. 1239-1243 [doi]
- The model order limit: Deep sparse factorization for resting brainDebadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat Biswal. 1244-1247 [doi]
- Spatially regularized wavelet leader scale-free analysis of fMRI dataHerwig Wendt, Patrice Abry, Philippe Ciuciu. 1248-1251 [doi]
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- Adaptive structured low rank algorithm for MR image recoveryYue Hu, Xiaohan Liu, Mathews Jacob. 1260-1263 [doi]
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- Linear convolution model of fetal circulation for hemodynamic responses to maternal hyperoxia using in utero functional MRIWonsang You, Feng Xu, Catherine Limperopoulos. 1284-1287 [doi]
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- Long-term prediction of μECOG signals with a spatio-temporal pyramid of adversarial convolutional networksRan Wang, Yilin Song, Yao Wang, Jonathan Viventi. 1313-1317 [doi]
- Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activationMohammed Alawad, Linwei Wang. 1318-1322 [doi]
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- Visualizing the palisades of Vogt: Limbal registration by surface segmentationTejas Sudharshan Mathai, John M. Galeotti, Kira L. Lathrop. 1327-1331 [doi]
- Liver lesion segmentation informed by joint liver segmentationEugene Vorontsov, An Tang, Chris Pal, Samuel Kadoury. 1332-1335 [doi]
- Tumor segmentation via multi-modality joint dictionary learningYan Wang 0015, Biting Yu, Lei Wang, Chen Zu, Yong Luo, Xi Wu 0004, Zhipeng Yang, Jiliu Zhou, Luping Zhou. 1336-1339 [doi]
- Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selectionHongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood. 1340-1343 [doi]
- Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case studyRoberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto de Alencar Lotufo, Richard Frayne. 1344-1347 [doi]
- Robust cerebrovascular segmentation in 4D ASL MRA imagesRenzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils Daniel Forkert. 1348-1351 [doi]
- An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography imagesVy Bui, Li-yueh Hsu, Lin-Ching Chang, Marcus Y. Chen. 1352-1355 [doi]
- Segmentation-by-detection: A cascade network for volumetric medical image segmentationMin Tang, Ziehen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko. 1356-1359 [doi]
- Stain independent segmentation of whole slide images: A case study in renal histologyLaxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr. 1360-1364 [doi]
- A novel MRA framework based on integrated global and local analysis for accurate segmentation of the cerebral vascular systemHeba Kandil, Ahmed Soliman, Luay Fraiwan, Ahmed Shalaby, Ali H. Mahmoud, Ahmed ElTanboly, Adel Elmaghraby, Guruprasad A. Giridharan, Ayman El-Baz. 1365-1368 [doi]
- Morphological operations on polygons using straight skeletons for digital pathologyDaniel Felipe Gonzalez Obando, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid. 1369-1372 [doi]
- Model-dependent uncertainty estimation of medical image segmentationTsachi Hershkovich, Tammy Riklin-Raviv. 1373-1376 [doi]
- A two-level ICA approach reveals important differences in the female brain response to thermal painXiaowei Song, Suchita Bhinge, Raimi Quiton, Tülay Adali. 1377-1380 [doi]
- Using resting state functional MRI to build a personalized autism diagnosis systemOmar Dekhil, Hassan Hajjdiab, Babajide O. Ayinde, Ahmed Shalaby, Andy Switala, Dawn Sosnin, Aliaa Elshamekh, Mohammed Ghazal, Robert Keynton, Gregory Barnes, Ayman El-Baz. 1381-1385 [doi]
- ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohortsEmily L. Dennis, Elisabeth A. Wilde, Mary R. Newsome, Randall S. Scheibel, Maya Troyanskaya, Carmen Velez, Benjamin S. C. Wade, Ann Marie Drennon, Gerald E. York, Erin D. Bigler, Tracy J. Abildskov, Brian A. Taylor, Carlos A. Jaramillo, Blessen Eapen, Heather Belanger, Vikash Gupta, Rajendra Morey, Courtney Haswell, Harvey S. Levin, Sidney R. Hinds, William C. Walker, Paul M. Thompson, David F. Tate. 1386-1389 [doi]
- Relating connectivity changes in brain networks to genetic information in Alzheimer patientsSamar S. M. Elsheikh, Emile R. Chimusa, Nicola J. Mulder, A. Crimi. 1390-1393 [doi]
- Deep fusion pipeline for mild cognitive impairment diagnosisUpul Senanayake, Arcot Sowmya, Laughlin Dawes. 1394-1997 [doi]
- Longitudinal analysis for Alzheimer's disease diagnosis using RNNRuoxuan Cui, Manhua Liu, Gang Li. 1398-1401 [doi]
- Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysisKai Liu, Hua Wang, Shannon L. Risacher, Andrew J. Saykin, Li Shen 0001. 1402-1405 [doi]
- Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measuresJie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang 0001. 1406-1410 [doi]
- Longitudinal and multi-modal data learning for Parkinson's disease diagnosisZhongwei Huang, Haijun Lei, Yujia Zhao, Feng Zhou, Jin Yan, Ahmed El-Azab, Baiying Lei. 1411-1414 [doi]
- Statistical disease mapping for heterogeneous neuroimaging studiesRongjie Liu, Chao Huang, Tengfei Li, Liuqing Yang, Hongtu Zhu. 1415-1418 [doi]
- Deep fMRI: AN end-to-end deep network for classification of fMRI dataAtif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh. 1419-1422 [doi]
- OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumesOscar Perdomo, Sebastian Otálora, Fabio A. González, Fabrice Mériaudeau, Henning Müller. 1423-1426 [doi]
- Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learningAbhishek Vahadane, Ameya Joshi, Kiran Madan, Tathagato Rai Dastidar. 1427-1430 [doi]
- An integrated framework for automatic clinical assessment of diabetic retinopathy grade using spectral domain OCT imagesAhmed ElTanboly, Mohammed Ghazaf, Ashraf Khalil, Ahmed Shalaby, Ali M. Mahmoud, Andy Switala, Magdi El-Azab, Shlomit Schaal, Ayman El-Baz. 1431-1435 [doi]
- Retinal fluid segmentation in OCT images using adversarial loss based convolutional neural networksRuwan B. Tennakoon, Amirali K. Gostar, Reza Hoseinnezhad, Alireza Bab-Hadiashar. 1436-1440 [doi]
- Multi-layer fast level set segmentation for macular OCTYihao Liu, Aaron Carass, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince. 1445-1448 [doi]
- Deformable medical image registration using generative adversarial networksDwarikanath Mahapatra, Bhavna J. Antony, Suman Sedai, Rahil Garnavi. 1449-1453 [doi]
- Susceptibility to misdiagnosis of adversarial images by deep learning based retinal image analysis algorithmsAbhay Shah, Stephanie Lynch, Meindert Niemeijer, Ryan Amelon, Warren Clarida, James C. Folk, Stephen R. Russell, Xiaodong Wu, Michael D. Abràmoff. 1454-1457 [doi]
- Retinal vascular topology estimation via dominant sets clusteringJianyang Xie, Yitian Zhao, Yalin Zheng, Pan Su, Jiang Liu, Yongtian Wang. 1458-1462 [doi]
- Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy dataA. Guerre, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwénolé Quellec. 1463-1466 [doi]
- Weakly supervised fluid filled region localization in retinal OCT scansShahrukh Athar, Abhishek Vahadane, Ameya Joshi, Tathagato Rai Dastidar. 1467-1470 [doi]
- Enhancement and automated segmentation of ultrasound knee cartilage for early diagnosis of knee osteoarthritisPrajna Ramesh Desai, Ilker Hacihaliloglu. 1471-1474 [doi]
- SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye trackingY. Cai, H. Sharma, P. Chatelain, J. A. Noble. 1475-1478 [doi]
- Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn imagesNa Wang, Yi Wang 0031, Huifang Wang, Baiying Lei, Tianfu Wang, Dong Ni. 1479-1482 [doi]
- A method of ultrasound simulation from patient-specific CT image data: A preliminary simulation studyB. Anila Satheesh, Arun K. Thittai. 1483-1486 [doi]
- Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging dataQiang Zheng, Gregory Tasian, Yong Fan. 1487-1490 [doi]
- Ultrasound elastography of breast cancer-related lymphedemaH. S. Hashemi, S. Fallone, M. Boily, A. Towers, R. D. Kilgour, H. Rivaz. 1491-1495 [doi]
- A time domain method to monitor temperature in microwave hyperthermia using ultrasound attenuationAliArshad Kothawala, Divya Baskaran, Kavitha Arunachalam, Arun K. Thittai. 1496-1499 [doi]
- Scoliosis screening and monitoring using self contained ultrasound and neural networksHastings Greer, Samuel Gerber, Marc Niethammer, Roland Kwitt, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward. 1500-1503 [doi]
- Detecting anomalies from echocardiography using multi-view regression of clinical measurementsAllen Lu, Ehsan Dehghan, Gopalkrishna Veni, Mehdi Moradi, Tanveer F. Syeda-Mahmood. 1504-1508 [doi]
- End-to-end detection-segmentation network with ROI convolutionZiehen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko. 1509-1512 [doi]
- Automated ovarian volume quantification in transvaginal ultrasoundRavi Teja Narra, Nitin Singhal, Nikhil S. Narayan, G. A. Ramaraju. 1513-1516 [doi]
- Placental maturity grading via hybrid descriptors based on fisher vectorFeng Jiang, Dong Ni, Siping Chen, Yuan Yao, Minh Hung Le, Tianfu Wang, Baiying Lei. 1517-1520 [doi]
- SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstructionHuizhuo Yuan, Jinzhu Jia, Zhanxing Zhu. 1521-1524 [doi]
- Deep convolutional neural network based screening and assessment of age-related macular degeneration from fundus imagesArun Govindaiah, Md. Akter Hussain, Roland Theodore Smith, Alauddin Bhuiyan. 1525-1528 [doi]
- Using deep neural networks for radiogenomic analysisNova F. Smedley, William Hsu. 1529-1533 [doi]
- Automatic renal segmentation in DCE-MRI using convolutional neural networksMarzieh Haghighi, Simon K. Warfield, Sila Kurugol. 1534-1537 [doi]
- BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modelingHansang Lee, Helen Hong, Junmo Kim. 1538-1541 [doi]
- Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's diseaseChen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang. 1542-1545 [doi]
- Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRIXinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini. 1546-1549 [doi]
- Cross-cohort dementia identification using transfer learning with FDG-PET imagingShen Lu, Yong Xia, Weidong Cai, David Dagan Feng, Michael J. Fulham. 1550-1554 [doi]
- Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statisticsJianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang 0001. 1555-1559 [doi]
- Regionally discriminative multivariate statistical mappingErdem Varol, Aristeidis Sotiras, Christos Davatzikos. 1560-1563 [doi]
- Neurite tracking in time-lapse calcium images using MRF-modeled pictorial structuresS. Gulyanon, L. He, W. D. Tracey, Gavriil Tsechpenakis. 1564-1568 [doi]
- 3D ab initio modeling in cryo-EM by autocorrelation analysisEitan Levin, Tamir Bendory, Nicolas Boumal, Joe Kileel, Amit Singer. 1569-1573 [doi]
- Multi-class classification of pulmonary endomicroscopic imagesMohammad Rami Koujan, Ahsan R. Akram, Paul McCool, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Stephen McLaughlin, Antonios Perperidis. 1574-1577 [doi]
- Learning-based long-range axon tracing in dense scenesMark Hernandez, Adam Brewster, Larry Thul, Brian A. Telfer, Arjun Majumdar, Heejin Choi, Taeyun Ku, Kwanghun Chung, Laura J. Brattain. 1578-1582 [doi]
- A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopyThyagarajan Radhakrishnan, K. Krishna Harsha Reddy, Suyash P. Awate. 1583-1587 [doi]