Table of Contents

• Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation)Tanveer F. Syeda-Mahmood, Hui Tang. [doi]
• Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCNBo Wang, Yang Lei, Tonghe Wang, Xue-dong, Sibo Tian, Xiaojun Jiang, Ashesh B. Jani, Tian Liu, Walter J. Curran, Pretesh Patel, Xiaofeng Yang. [doi]
• Discrimination of benign and malignant pulmonary tumors in computed tomography: effective priori information of fast learning network architectureHao-Jen Wang, Leng-Rong Chen, Li-Wei Chen, Yi-Chang Chen, Shun-Mao Yang, Mong-Wei Lin, Joseph Chang, Chia-Chen Li, Chia-Yen Lee, Jin-Shing Chen, Yeun-Chung Chang, Chung-Ming Chen. [doi]
• Automatic rat brain segmentation from MRI using statistical shape models and random forestSimone Bendazzoli, Irene Brusini, Peter Damberg, Örjan Smedby, Leif Andersson, Chunliang Wang. [doi]
• Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape compositionHaihong Tian, Geng Chen, Dehui Xiang, Xinjian Chen. [doi]
• Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomyMirabela Rusu, Christian Kunder, Richard Fan, Pejman Ghanouni, Robert West, Geoffrey Sonn, James Brooks. [doi]
• Evaluating the impact of intensity normalization on MR image synthesisJacob C. Reinhold, Blake E. Dewey, Aaron Carass, Jerry L. Prince. [doi]
• Variational autoencoding tissue response to microenvironment perturbationGeoffrey F. Schau, Guillaume Thibault, Mark A. Dane, Joe W. Gray, Laura M. Heiser, Young-Hwan Chang. [doi]
• Direct prediction of cardiovascular mortality from low-dose chest CT using deep learningSanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum. [doi]
• Segmentation of corneal optical coherence tomography images using Graph Search and Radon transformAmr Elsawy, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha. [doi]
• Accurate registration of in vivo time-lapse imagesSeyed M. M. Kahaki, Shih-Luen Wang, Armen Stepanyants. [doi]
• Analysis of the kinematic motion of the wrist from 4D magnetic resonance imagingBatool Abbas, James Fishbaugh, Catherine Petchprapa, Riccardo Lattanzi, Guido Gerig. [doi]
• Multi-coil magnetic resonance imaging reconstruction with a Markov random field priorMarko Panic, Jan Aelterman, Vladimir S. Crnojevic, Aleksandra Pizurica. [doi]
• Approximation of a pipeline of unsupervised retina image analysis methods with a CNNFriso G. Heslinga, Josien P. W. Pluim, Behdad Dashtbozorg, Tos T. J. M. Berendschot, A. J. H. M. Houben, Ronald M. A. Henry, Mitko Veta. [doi]
• Semantic segmentation of computed tomography for radiotherapy with deep learning: compensating insufficient annotation quality using contour augmentationUmair Javaid, Damien Dasnoy, John A. Lee. [doi]
• CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial networkFrank Zijlstra, Koen Willemsen, Mateusz C. Florkow, Ralph J. B. Sakkers, Harrie H. Weinans, Bart C. H. van der Wal, Marijn van Stralen, Peter R. Seevinck. [doi]
• 3D bifurcations characterization for intra-cranial aneurysms predictionAnass Nouri, Florent Autrusseau, Romain Bourcier, Alban Gaignard, Vincent L'Allinec, Celine Menguy, Joëlle Veziers, Hubert Desal, Gervaise Loirand, Richard Redon. [doi]
• Weakly supervised fully convolutional network for PET lesion segmentationSaeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh. [doi]
• Progressively growing convolutional networks for end-to-end deformable image registrationKoen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim. [doi]
• A fully automated CT-based airway segmentation algorithm using deep learning and topological leakage detection and branch augmentation approachesSyed Ahmed Nadeem, Eric A. Hoffman, Punam K. Saha. [doi]
• Lesion focused super-resolutionJin Zhu, Guang Yang, Pietro Lió. [doi]
• Detecting connectivity changes in autism spectrum disorder using large-scale Granger causalityAnas Z. Abidin, Adora M. DSouza, Axel Wismüller. [doi]
• A CNN based retinal regression model for Bruch's membrane opening detectionYuhe Shen, Liling Guan, Kai Yu, Xinjian Chen. [doi]
• A robust index for global tissue deformation analysis in ultrasound imagesArnaud Brignol, Farida Cheriet, Catherine Laporte. [doi]
• Reproducibility evaluation of SLANT whole brain segmentation across clinical magnetic resonance imaging protocolsYunxi Xiong, Yuankai Huo, Jiachen Wang, Larry Taylor Davis, Maureen McHugo, Bennett A. Landman. [doi]
• Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localizationNils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer. [doi]
• Artificial neural network filters for enhancing 3D optical microscopy images of neuritesShih-Luen Wang, Seyed M. M. Kahaki, Armen Stepanyants. [doi]
• Improving V-Nets for multi-class abdominal organ segmentationChen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori. [doi]
• Unsupervised learning for large motion thoracic CT follow-up registrationAlessa Hering, Stefan Heldmann. [doi]
• Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentationMariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim. [doi]
• Automatic dental root CBCT image segmentation based on CNN and level set methodJun Ma, Xiaoping Yang. [doi]
• Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraintsHyeonjin Kim, Helen Hong, Kidon Chang, Koon Ho Rha. [doi]
• Cerebellum parcellation with convolutional neural networksShuo Han, Yufan He, Aaron Carass, Sarah H. Ying, Jerry L. Prince. [doi]
• Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimatorsVishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Owen A. Williams, Susan M. Resnick, Lori Beason-Held, Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman. [doi]
• Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisitionPak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li. [doi]
• Deep learning-based stenosis quantification from coronary CT angiographyYoungtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey. [doi]
• Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss functionJoost van der Putten, Fons van der Sommen, Maarten P. Struyvenberg, Jeroen de Groof, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With. [doi]
• Automatic quality control using hierarchical shape analysis for cerebellum parcellationLianrui Zuo, Shuo Han, Aaron Carass, Sarah H. Ying, Chiadikaobi U. Onyike, Jerry L. Prince. [doi]
• Projection image-to-image translation in hybrid x-ray/MR imagingBernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier. [doi]
• Robust harmonic field based tooth segmentation in real-life noisy scanned meshJaedong Hwang, Sanghyeok Park, Seokjin Lee, Yeong-Gil Shin. [doi]
• Automatic two-chamber segmentation in cardiac CTA using 3D fully convolutional neural networksYan Yang, Osama Masoud. [doi]
• Lung cancer detection using co-learning from chest CT images and clinical demographicsJiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman. [doi]
• Cycle-consistent 3D-generative adversarial network for virtual bowel cleansing in CT colonographyJanne J. Näppi, Hiroyuki Yoshida. [doi]
• Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imagingJiaxing Tan, Yongfeng Gao, Yumei Huo, Lihong Li 0002, Zhengrong Liang. [doi]
• Subvoxel vessel wall thickness measurements from vessel wall MR imagesK. M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf. [doi]
• The segmentation of bladder cancer using the voxel-features-based methodHao-jie Zheng, Xiaopan Xu, Xi Zhang, Hongbing Lu, Ji-min Liang, Yang Liu. [doi]
• Unsupervised brain lesion segmentation from MRI using a convolutional autoencoderHans E. Atlason, Askell Love, Sigurdur Sigurdsson, Vilmundur Gudnason, Lotta Maria Ellingsen. [doi]
• A computational method to aid the detection and annotation of pleural lesions in CT images of the thoraxAzael de Melo e Sousa, Alexandre Xavier Falcão, Ericson Bagatin, Gustavo Souza Meirelles. [doi]
• Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural networkCailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman. [doi]
• Objects characterization-based approach to enhance detection of degree of malignancy in breast cancer histopathologyPedro Furtado. [doi]
• Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injurySamuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham. [doi]
• Regularized topological data analysis for extraction of coherent brain regionsIshaan Batta, Nicolas Honnorat, Christos Davatzikos. [doi]
• Multiscale deep desmoking for laparoscopic surgeryCongcong Wang, Ahmed Kedir Mohammed, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle. [doi]
• Deep learning based classification for metastasis of hepatocellular carcinoma with microscopic imagesHui Meng, Yuan Gao, Kun Wang, Jie Tian. [doi]
• Predicting cognitive scores from resting fMRI data and geometric features of the brainAnand A. Joshi, Jian Li, Haleh Akrami, Richard M. Leahy. [doi]
• Model selection for spatiotemporal modeling of early childhood sub-cortical developmentJames Fishbaugh, Beatriz Paniagua, Mahmoud Mostapha, Martin Styner, Veronica Murphy, John H. Gilmore, Guido Gerig. [doi]
• Deep learning for inverse imaging problems: some recent approaches (Conference Presentation)Carola-Bibiane Schönlieb. [doi]
• Offset regression networks for view plane estimation in 3D fetal ultrasoundAlexander Schmidt-Richberg, Nicole Schadewaldt, Tobias Klinder, Matthias Lenga, Robert Trahms, Earl Canfield, David Roundhill, Cristian Lorenz. [doi]
• Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine heartsMia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi. [doi]
• Multi-modal image fusion for multispectral super-resolution in microscopyNeel Dey, Shijie Li, Katharina Bermond, Rainer Heintzmann, Christine A. Curcio, Thomas Ach, Guido Gerig. [doi]
• Improved estimation of dynamic connectivity from resting-state fMRI dataBiao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang. [doi]
• Bayesian inference for uncertainty quantification in point-based deformable image registrationSandra Schultz, Julia Krüger, Heinz Handels, Jan Ehrhardt. [doi]
• Segmentation of corneal optical coherence tomography images using randomized Hough transformAmr Elsawy, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha. [doi]
• Orbital bone segmentation in head and neck CT images using multi-gray level fully convolutional networksMin Jin Lee, Helen Hong, Kyu Won Shim, Seongeun Park. [doi]
• Sparse low-dimensional causal modeling for the analysis of brain functionDushyant Sahoo, Nicolas Honnorat, Christos Davatzikos. [doi]
• Predicting histopathological findings of gastric cancer via deep generalized multi-instance learningMengjie Fang, Wenjuan Zhang, Di Dong, Junlin Zhou, Jie Tian 0001. [doi]
• Effect of statistical mismatch between training and test images for CNN-based deformable registrationMichael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri, Sebastian Vogt, Gerhard Kleinszig, Jeffrey H. Siewerdsen. [doi]
• PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image TransformationMauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai. [doi]
• Volumetric texture modeling using dominant and discriminative binary patternsParmeet S. Bhatia, Amit Kale, Zhigang Peng. [doi]
• Nuclei counting in microscopy images with three dimensional generative adversarial networksShuo Han, Soonam Lee, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp. [doi]
• Group-wise alignment of resting fMRI in space and timeHaleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy. [doi]
• Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging dataJorge Samper-González, Ninon Burgos, Simona Bottani, Marie Odile Habert, Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot. [doi]
• Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRIMirabela Rusu, Bruce Daniel, Robert West. [doi]
• The utility of deep learning: evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studiesP. Ojeda, M. Zawaideh, Mahmud Mossa-Basha, David Haynor. [doi]
• Brain network identification in asynchronous task fMRI data using robust and scalable tensor decompositionJian Li, Jessica L. Wisnowski, Anand A. Joshi, Richard M. Leahy. [doi]
• Fully automated unruptured intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural networkHailan Jin, Yin Yin, Minghui Hu, Guangming Yang, Lan Qin. [doi]
• Shape-based three-dimensional body composition extrapolation using multimodality registrationYao Lu, James K. Hahn. [doi]
• Semi-automatic segmentation of JIA-induced inflammation in MRI images of ankle jointsAnqi Wang, Andreas Franke, Stefan Wesarg. [doi]
• MRI-based synthetic CT generation using deep convolutional neural networkYang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang. [doi]
• Improving myocardium segmentation in cardiac CT angiography using spectral informationSteffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum. [doi]
• An automatic end-to-end pipeline for CT image-based EGFR mutation status classificationLin Tian, Rong Yuan. [doi]
• Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape priorPedro Morais, Sandro F. Queiros, Carla Pereira, António H. J. Moreira, Maria J. Baptista, Nuno F. Rodrigues, Jan D'hooge, Daniel Barbosa 0001, João L. Vilaça. [doi]
• Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentationJunyu Chen, Abhinav K. Jha, Eric C. Frey. [doi]
• Reduction of unnecessary thyroid biopsies using deep learningZeynettin Akkus, Arunnit Boonrod, Mahfuzur R. Siddiquee, Kenneth A. Philbrick, Marius N. Stan, Regina M. Castro, Dana Erickson, Matthew R. Callstrom, Bradley J. Erickson. [doi]
• Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorizationHeejong Kim, Joseph Piven, Guido Gerig. [doi]
• Obtaining the potential number of models/atlases needed for capturing anatomic variations in population imagesZe Jin, Jayaram K. Udupa, Drew A. Torigian. [doi]
• Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstructionFrederic Madesta, Tobias Gauer, Thilo Sentker, René Werner. 1094902 [doi]
• Image-domain multi-material decomposition for dual-energy CT with non-convex sparsity regularizationQihui Lyu, Daniel O'Connor, Tianye Niu, Ke Sheng. 1094903 [doi]
• Non-learning based deep parallel MRI reconstruction (NLDpMRI)Ali Pour Yazdanpanah, Onur Afacan, Simon K. Warfield. 1094904 [doi]
• Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learningYunhao Ge, Zhong Xue, Tuoyu Cao, Shu Liao. 1094905 [doi]
• Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) frameworkQihui Lyu, Dan Ruan, John Hoffman, Ryan Neph, Michael F. McNitt-Gray, Ke Sheng. 1094906 [doi]
• Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training dataDongQing Zhang, Rueben Banalagay, Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant. 1094907 [doi]
• Improving splenomegaly segmentation by learning from heterogeneous multi-source labelsYucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman. 1094908 [doi]
• Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolutionFengkai Wan, Örjan Smedby, Chunliang Wang. 1094909 [doi]
• Body part and imaging modality classification for a general radiology cognitive assistantChinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood. 1094910 [doi]
• Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencodersHristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels. 1094911 [doi]
• Fourier decomposition free-breathing H MRI perfusion maps in asthmaAlexander M. Matheson, Dante P. I. Capaldi, Fumin Guo, Rachel L. Eddy, David G. McCormack, Grace Parraga. 1094912 [doi]
• Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural networkAntong Chen, Dahai Xue, Tosha Shah, Catherine D. G. Hines, Alexa Gleason, Manishkumar Patel, Barbara Robinson, Britta Mattson, Belma Dogdas. 1094913 [doi]
• Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentationsVolker Dicken, Annika Hänsch, Jan Hendrik Moltz, Benjamin Haas, Thomas Coradi, Tomasz Morgas, Jan Klein 0001. 1094914 [doi]
• Automatic cardiac landmark localization by a recurrent neural networkMike van Zon, Mitko Veta, Shuo Li. 1094916 [doi]
• Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learningYuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, J. Jeffrey Carr, Bennett A. Landman. 1094917 [doi]
• Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfacesSandro F. Queiros, Pedro Morais, Jaime C. Fonseca, Jan D'hooge, João L. Vilaça. 1094918 [doi]
• Towards increased trustworthiness of deep learning segmentation methods on cardiac MRIJörg Sander 0003, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum. 1094919 [doi]
• Choroid segmentation in OCT images based on improved U-netXuena Cheng, Xinjian Chen, Yuhui Ma, Weifang Zhu, Ying Fan, Fei Shi. 1094921 [doi]
• Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy mapsCamilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman. 1094922 [doi]
• Automated segmentation of the optic disc using the deep learningLei Wang, Han Liu, Jian Zhang, Hang Chen, Jiantao Pu. 1094923 [doi]
• Generation of retinal OCT images with diseases based on cGANXuewei Zha, Fei Shi, Yuhui Ma, Weifang Zhu, Xinjian Chen. 1094924 [doi]
• A probabilistic approach for the registration of images with missing correspondencesJulia Krüger, Jan Ehrhardt, Sandra Schultz, Heinz Handels. 1094925 [doi]
• Active shape dictionary for automatic segmentation of pathological lung in low-dose CT imageGeng Chen, Dehui Xiang, Haihong Tian, Bin Zhang, Weifang Zhu, Fei Shi, Xinjian Chen. 1094926 [doi]
• A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to SchizophreniaSayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman. 1094927 [doi]
• Stack-U-Net: refinement network for improved optic disc and cup image segmentationArtem Sevastopolsky, Stepan Drapak, Konstantin Kiselev, Blake M. Snyder, Jeremy D. Keenan, Anastasia Georgievskaya. 1094928 [doi]
• Left ventricle segmentation in LGE-MRI using multiclass learningTanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Andreas K. Maier, Rebecca Fahrig. 1094929 [doi]
• Robust discomfort detection for infants using an unsupervised roll estimationCheng Li, Arash Pourtaherian, Walther E. Tjon a Ten, Peter H. N. de With. 1094930 [doi]
• Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networksJuan Pedro Vigueras-Guillén, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet. 1094931 [doi]
• Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shapeYuwen Zhang, Mahyar Osanlouy, Alys R. Clark, Hari Kumar, Clair King, Margaret L. Wilsher, David G. Milne, Eric A. Hoffman, Merryn H. Tawhai. 1094932 [doi]
• Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSELiling Guan, Kai Yu, Xinjian Chen. 1094933 [doi]
• Is hippocampus getting bumpier with age: a quantitative analysis of fine-scale dentational feature under the hippocampus on 552 healthy subjectsShuxiu Cai, Xiaxia Yu, Qiaochu Zhang, Chuan Huang, Yi Gao. 1094935 [doi]
• Local and global transformations to improve learning of medical images applied to chest radiographsVidya M. S., Manikanda Krishnan V., Anirudh G., Srinivasa Rao Kundeti, J. Vijayananda. 1094936 [doi]
• Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound imageHong Joo Lee, Hak Gu Kim, Hyenok Park, Dongkuk Shin, Yong Man Ro. 1094937 [doi]
• The impact of MRI-CT registration errors on deep learning-based synthetic CT generationMateusz C. Florkow, Frank Zijlstra, Linda G. W. Kerkmeijer, Matteo Maspero, Cornelis A. T. van den Berg, Marijn van Stralen, Peter R. Seevinck. 1094938 [doi]
• Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery imagesKleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten. 1094939 [doi]