Abstract is missing.
- Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's DiseaseLuyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen. 1-8 [doi]
- Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning MethodBrent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner. 9-17 [doi]
- Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI ClassificationXiaobo Chen, Han Zhang, Dinggang Shen. 18-25 [doi]
- Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural NetworksLuyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen. 26-34 [doi]
- Mammographic Mass Segmentation with Online Learned Shape and Appearance PriorsMenglin Jiang, Shaoting Zhang, Yuanjie Zheng, Dimitris N. Metaxas. 35-43 [doi]
- Differential Dementia Diagnosis on Incomplete Data with Latent TreesChristian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Jyrki Lötjönen, Daniel Rueckert. 44-52 [doi]
- Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary NodulesSihong Chen, Dong Ni, Jing Qin, Baiying Lei, Tianfu Wang, Jie-Zhi Cheng. 53-60 [doi]
- Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET ImagesChunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera. 61-69 [doi]
- Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease DiagnosisJailin Peng, Le An, Xiaofeng Zhu, Yan Jin, Dinggang Shen. 70-78 [doi]
- Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease DiagnosisLe An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen. 79-87 [doi]
- Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease DiagnosisKim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen. 88-96 [doi]
- The Automated Learning of Deep Features for Breast Mass Classification from MammogramsNeeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley. 106-114 [doi]
- Multimodal Deep Learning for Cervical Dysplasia DiagnosisTao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas. 115-123 [doi]
- Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer PredictionWei Shen, Mu Zhou, Feng Yang, Di Dong, Caiyun Yang, Yali Zang, Jie Tian. 124-131 [doi]
- DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random FieldHuazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu 0001. 132-139 [doi]
- Deep Retinal Image UnderstandingKevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool. 140-148 [doi]
- 3D Deeply Supervised Network for Automatic Liver Segmentation from CT VolumesQi Dou, Hao Chen 0011, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng. 149-157 [doi]
- Deep Neural Networks for Fast Segmentation of 3D Medical ImagesKarl D. Fritscher, Patrik Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert. 158-165 [doi]
- SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIsAmir Jamaludin, Timor Kadir, Andrew Zisserman. 166-175 [doi]
- A Deep Learning Approach for Semantic Segmentation in Histology Tissue ImagesJiazhuo Wang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen. 176-184 [doi]
- Spatial Clockwork Recurrent Neural Network for Muscle Perimysium SegmentationYuanpu Xie, Zizhao Zhang, Manish Sapkota, Lin Yang. 185-193 [doi]
- Automated Age Estimation from Hand MRI Volumes Using Deep LearningDarko Stern, Christian Payer, Vincent Lepetit, Martin Urschler. 194-202 [doi]
- Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural NetworksChristian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert. 203-211 [doi]
- 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor PatientsDong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen. 212-220 [doi]
- From Local to Global Random Regression Forests: Exploring Anatomical Landmark LocalizationDarko Stern, Thomas Ebner, Martin Urschler. 221-229 [doi]
- Regressing Heatmaps for Multiple Landmark Localization Using CNNsChristian Payer, Darko Stern, Horst Bischof, Martin Urschler. 230-238 [doi]
- Self-Transfer Learning for Weakly Supervised Lesion LocalizationSangheum Hwang, Hyo-Eun Kim. 239-246 [doi]
- Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal RegressionDong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen. 247-255 [doi]
- Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone SegmentationFirat Özdemir, Ece Ozkan, Orçun Göksel. 256-264 [doi]
- Bayesian Image Quality TransferRyutaro Tanno, Aurobrata Ghosh, Francesco Grussu, Enrico Kaden, Antonio Criminisi, Daniel C. Alexander. 265-273 [doi]
- Wavelet Appearance Pyramids for Landmark Detection and Pathology Classification: Application to Lumbar Spinal StenosisQiang Zhang, Abhir Bhalerao, Caron Parsons, Emma Helm, Charles Hutchinson. 274-282 [doi]
- A Learning-Free Approach to Whole Spine Vertebra Localization in MRIMarko Rak, Klaus-Dietz Tönnies. 283-290 [doi]
- Automatic Quality Control for Population Imaging: A Generic Unsupervised ApproachMohsen Farzi, Jose M. Pozo, Eugene V. McCloskey, J. Mark Wilkinson, Alejandro F. Frangi. 291-299 [doi]
- A Cross-Modality Neural Network Transform for Semi-automatic Medical Image AnnotationMehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer F. Syeda-Mahmood. 300-307 [doi]
- Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility ClassificationSiyamalan Manivannan, Caroline Cobb, Stephen Burgess, Emanuele Trucco. 308-316 [doi]
- Vision-Based Classification of Developmental Disorders Using Eye-MovementsGuido Pusiol, Andre Esteva, Scott S. Hall, Michael Frank, Arnold Milstein, Li Fei-Fei. 317-325 [doi]
- Scalable Unsupervised Domain Adaptation for Electron MicroscopyRóger Bermúdez-Chacón, Carlos J. Becker, Mathieu Salzmann, Pascal Fua. 326-334 [doi]
- Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels RepresentationXiaoxu He, Yilong Yin, Manas Sharma, Gary Brahm, Ashley Mercado, Shuo Li. 335-343 [doi]
- Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis InitiativeSatyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka. 344-351 [doi]
- Dynamically Balanced Online Random Forests for Interactive Scribble-Based SegmentationGuotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin. 352-360 [doi]
- Orientation-Sensitive Overlap Measures for the Validation of Medical Image SegmentationsTasos Papastylianou, Erica Dall' Armellina, Vicente Grau. 361-369 [doi]
- High-Throughput Glomeruli Analysis of μ CT Kidney Images Using Tree Priors and Scalable Sparse ComputationCarlos Correa Shokiche, Philipp Baumann, Ruslan Hlushchuk, Valentin Djonov, Mauricio Reyes. 370-378 [doi]
- A Surface Patch-Based Segmentation Method for Hippocampal SubfieldsBenoît Caldairou, Boris C. Bernhardt, Jessie Kulaga-Yoskovitz, Hosung Kim, Neda Bernasconi, Andrea Bernasconi. 379-387 [doi]
- Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT ImagesIsabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers. 388-397 [doi]
- Evaluation-Oriented Training via Surrogate Metrics for Multiple Sclerosis SegmentationMichel M. dos Santos, Paula R. B. Diniz, Abel G. Silva-Filho, Wellington P. dos Santos. 398-405 [doi]
- Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and PredictionLisa Y. W. Tang, Tom Brosch, Xingtong Liu, Youngjin Yoo, Anthony Traboulsee, David K. B. Li, Roger C. Tam. 406-414 [doi]
- Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random FieldsPatrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze. 415-423 [doi]
- 3D U-Net: Learning Dense Volumetric Segmentation from Sparse AnnotationÖzgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger. 424-432 [doi]
- Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNsRobert Korez, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec. 433-441 [doi]
- Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural NetworksJinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin. 442-450 [doi]
- Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas SegmentationHolger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers. 451-459 [doi]
- Topology Aware Fully Convolutional Networks for Histology Gland SegmentationAïcha BenTaieb, Ghassan Hamarneh. 460-468 [doi]
- HeMIS: Hetero-Modal Image SegmentationMohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio. 469-477 [doi]
- Deep Learning for Multi-task Medical Image Segmentation in Multiple ModalitiesPim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum. 478-486 [doi]
- Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound ImagesHao Chen 0011, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou. 487-495 [doi]
- Gland Instance Segmentation by Deep Multichannel Side SupervisionYan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang. 496-504 [doi]
- Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative LearningOualid M. Benkarim, Gemma Piella, Miguel Ángel González Ballester, Gerard Sanroma. 505-512 [doi]
- Feature Sensitive Label Fusion with Random Walker for Atlas-Based Image SegmentationSiqi Bao, Albert C. S. Chung. 513-520 [doi]
- Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR ImagesHeran Yang, Jian Sun 0009, Huibin Li, Lisheng Wang, ZongBen Xu. 521-528 [doi]
- Prior-Based Coregistration and CosegmentationMahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios. 529-537 [doi]
- Globally Optimal Label Fusion with Shape PriorsIpek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka. 538-546 [doi]
- Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment PlanningNinon Burgos, Filipa Guerreiro, Jamie McClelland, Simeon Nill, David Dearnaley, Nandita deSouza, Uwe Oelfke, Antje-Christin Knopf, Sébastien Ourselin, M. Jorge Cardoso. 547-555 [doi]
- Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas SegmentationMasahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori. 556-563 [doi]
- Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRILong Xie, Laura E. M. Wisse, Sandhitsu R. Das, Hongzhi Wang, David A. Wolk, José V. Manjón, Paul A. Yushkevich. 564-571 [doi]
- 7T-Guided Learning Framework for Improving the Segmentation of 3T MR ImagesKhosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen. 572-580 [doi]
- Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRIXiahai Zhuang. 581-588 [doi]
- Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRIAmir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz. 589-597 [doi]
- Multi-organ Segmentation Using Vantage Point Forests and Binary Context FeaturesMattias P. Heinrich, Maximilian Blendowski. 598-606 [doi]
- Multiple Object Segmentation and Tracking by Bayes Risk MinimizationTomás Sixta, Boris Flach. 607-615 [doi]
- Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with ConfidenceLena Maier-Hein, Tobias Roß, J. Gröhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, E. Heim, Michael Götz, Sebastian J. Wirkert, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein. 616-623 [doi]
- Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung StudyJie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, Colin O. Wu, Bharath Venkatesh, R. Graham Barr, Andrew F. Laine. 624-631 [doi]
- Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without SegmentationMitko Veta, Paul J. van Diest, Josien P. W. Pluim. 632-639 [doi]
- Subtype Cell Detection with an Accelerated Deep Convolution Neural NetworkSheng Wang, Jiawen Yao, Zheng Xu, JunZhou Huang. 640-648 [doi]
- Imaging Biomarker Discovery for Lung Cancer Survival PredictionJiawen Yao, Sheng Wang, Xinliang Zhu, JunZhou Huang. 649-657 [doi]
- 3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal CutLin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen. 658-666 [doi]
- Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya DistributionBisser Raytchev, Atsuki Masuda, Masatoshi Minakawa, Kojiro Tanaka, Takio Kurita, Toru Imamura, Masashi Suzuki, Toru Tamaki, Kazufumi Kaneda. 667-675 [doi]
- Detecting 10, 000 Cells in One SecondZheng Xu, JunZhou Huang. 676-684 [doi]
- A Hierarchical Convolutional Neural Network for Mitosis Detection in Phase-Contrast Microscopy ImagesYunxiang Mao, Zhaozheng Yin. 685-692 [doi]