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20. MICCAI 2017: Quebec City, QC, Canada
- Maxime Descoteaux, Lena Maier-Hein, Alfred M. Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne
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Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10435, Springer 2017, ISBN 978-3-319-66178-0
Feature Extraction and Classification Techniques
- Mingxia Liu, Jun Zhang, Ehsan Adeli
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. 3-11 - Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. 12-20 - Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate
Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection. 21-29 - Christian Wachinger
Latent Processes Governing Neuroanatomical Change in Aging and Dementia. 30-37 - Benjamín Gutiérrez, Loïc Peter, Tassilo Klein
A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. 38-45 - Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. 46-54 - Li Zhang, Dana Cobzas, Alan H. Wilman, Linglong Kong:
An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data. 55-63 - Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang:
Unsupervised Feature Learning for Endomicroscopy Image Retrieval. 64-71 - Xiaofeng Zhu
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. 72-80 - John Treilhard, Susanne Smolka, Lawrence H. Staib
Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. 81-88 - Yawen Huang, Ling Shao
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI. 89-98 - Yang Song
Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. 99-106 - Xinwei Sun
GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. 107-115 - Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann:
MRI-Based Surgical Planning for Lumbar Spinal Stenosis. 116-124 - Rui Li, Ping Wu, Igor Yakushev, Jian Wang, Sibylle Ilse Ziegler, Stefan Förster, Sung-Cheng Huang, Markus Schwaiger, Nassir Navab, Chuantao Zuo, Kuangyu Shi
Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism. 125-133 - Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia
Physiological Parameter Estimation from Multispectral Images Unleashed. 134-141 - Mário João Fartaria
Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling. 142-149 - Konstantin Dmitriev, Arie E. Kaufman, Ammar A. Javed
Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble. 150-158 - Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein
Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. 159-167 - Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. 168-176 - Sarah Parisot, Sofia Ira Ktena
Spectral Graph Convolutions for Population-Based Disease Prediction. 177-185 - Andrew Doyle
Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation. 186-194 - Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. 195-202
Machine Learning in Medical Image Computing
- Yingying Zhu, Minjeong Kim, Xiaofeng Zhu
Personalized Diagnosis for Alzheimer's Disease. 205-213 - Florian Dubost, Gerda Bortsova
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. 214-221 - Yuyin Zhou
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. 222-230 - Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. 231-239 - Chenchu Xu, Lei Xu, Zhifan Gao
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm. 240-249 - Zongyuan Ge
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images. 250-258 - Cheng Bian
Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound. 259-266 - Zhe Wang, Yanxin Yin, Jianping Shi, Wei Fang, Hongsheng Li
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection. 267-275 - Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, Shuo Li:
Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness. 276-284 - Lucas Fidon, Wenqi Li
Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation. 285-293 - Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman:
Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks. 294-301 - Amir H. Abdi, Christina Luong, Teresa Tsang
Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes. 302-310 - Christoph Baur, Shadi Albarqouni
Semi-supervised Deep Learning for Fully Convolutional Networks. 311-319 - Zizhao Zhang, Pingjun Chen
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. 320-328 - Mattias P. Heinrich
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions. 329-337 - Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou:
Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. 338-346 - Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Robust Multi-modal MR Image Synthesis. 347-355 - Gerda Bortsova
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. 356-364 - Emran Mohammad Abu Anas, Saman Nouranian, Seyedeh Sara Mahdavi, Ingrid Spadinger, William J. Morris, Septimiu E. Salcudean
Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks. 365-373 - Prabhat Garg, Elizabeth M. Davenport
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. 374-381 - Dwarikanath Mahapatra, Behzad Bozorgtabar
Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. 382-390 - Davood Karimi, Dan Ruan:
Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging. 391-398 - Lin Yang, Yizhe Zhang, Jianxu Chen
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. 399-407 - Yizhe Zhang, Lin Yang, Jianxu Chen
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. 408-416 - Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. 417-425 - Xin Yang, Zhiwei Wang, Chaoyue Liu, Hung Le Minh, Jingyu Chen, Kwang-Ting (Tim) Cheng
Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks. 426-434 - Rahul Duggal, Anubha Gupta
SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging. 435-443 - Shadi Albarqouni
X-Ray In-Depth Decomposition: Revealing the Latent Structures. 444-452 - Hua Ma
Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network. 453-461 - Dhritiman Das
Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning. 462-470 - Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. 471-479 - Youngjin Yoo, Lisa Y. W. Tang, Su-Hyun Kim, Ho Jin Kim, Lisa Eunyoung Lee, David K. B. Li, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam
Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis. 480-488 - Atilla P. Kiraly, Clement Abi Nader, Ahmet Tuysuzoglu, Robert Grimm
Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification. 489-497 - Dong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Zhoubing Xu, Mingqing Chen, Jin Hyeong Park, Sasa Grbic, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. 498-506 - Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. 507-515 - Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. 516-524 - Ling Dai, Bin Sheng, Qiang Wu, Huating Li, Xuhong Hou, Weiping Jia
Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. 525-532 - Yehui Yang, Tao Li, Wensi Li, Haishan Wu, Wei Fan, Wensheng Zhang:
Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks. 533-540 - Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab:
Hashing with Residual Networks for Image Retrieval. 541-549 - Sailesh Conjeti, Magdalini Paschali
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval. 550-558 - Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang:
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks. 559-567 - Xinyang Feng
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. 568-576 - Yixuan Yuan
Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder. 577-585 - Felix J. S. Bragman, Jamie R. McClelland
Manifold Learning of COPD. 586-593 - Guy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Y. Hashoul:
Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. 594-602 - Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie:
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. 603-611 - Mohammad Arafat Hussain
Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs. 612-620 - Adam P. Harrison
Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. 621-629 - Qi Dou
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. 630-638 - Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados:
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. 639-646 - Mehdi Alilou, Mahdi Orooji
Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT. 647-655 - Yutong Xie
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. 656-664 - Gabriel Maicas, Gustavo Carneiro
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. 665-673 - Jinzheng Cai, Le Lu
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. 674-682 - Gregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh:
Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. 683-691 - Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen:
Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation? 692-700
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