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医学影像学中的机器学习:第十届国际研讨会,MLMI 2019,与MICCAI 2019联合举办,中国深圳,2019年10月13日,会议记录-Machine Learning in Medical Im

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标题(title):Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
医学影像学中的机器学习:第十届国际研讨会,MLMI 2019,与MICCAI 2019联合举办,中国深圳,2019年10月13日,会议记录
作者(author):Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian
出版社(publisher):Springer International Publishing
大小(size):100 MB (105143244 bytes)
格式(extension):pdf
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This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

Table of contents :
Front Matter ....Pages i-xviii
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization (Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang)....Pages 1-8
Spatial Regularized Classification Network for Spinal Dislocation Diagnosis (Bolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang et al.)....Pages 9-17
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening (Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Gene Kim, Linda Moy et al.)....Pages 18-26
Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function (Hykoush Asaturyan, E. Louise Thomas, Julie Fitzpatrick, Jimmy D. Bell, Barbara Villarini)....Pages 27-35
WSI-Net: Branch-Based and Hierarchy-Aware Network for Segmentation and Classification of Breast Histopathological Whole-Slide Images (Haomiao Ni, Hong Liu, Kuansong Wang, Xiangdong Wang, Xunjian Zhou, Yueliang Qian)....Pages 36-44
Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary Information (Han Zhang, Albert C. S. Chung)....Pages 45-53
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network (Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo et al.)....Pages 54-62
DCCL: A Benchmark for Cervical Cytology Analysis (Changzheng Zhang, Dong Liu, Lanjun Wang, Yaoxin Li, Xiaoshi Chen, Rui Luo et al.)....Pages 63-72
Smartphone-Supported Malaria Diagnosis Based on Deep Learning (Feng Yang, Hang Yu, Kamolrat Silamut, Richard J. Maude, Stefan Jaeger, Sameer Antani)....Pages 73-80
Children’s Neuroblastoma Segmentation Using Morphological Features (Shengyang Li, Xiaoyun Zhang, Xiaoxia Wang, Yumin Zhong, Xiaofen Yao, Ya Zhang et al.)....Pages 81-88
GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images (Noha Ghatwary, Massoud Zolgharni, Xujiong Ye)....Pages 89-97
Deep Active Lesion Segmentation (Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel Rubin et al.)....Pages 98-105
Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning (Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang)....Pages 106-114
A Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification (Wenbo Zheng, Chao Gou, Lan Yan)....Pages 115-123
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation (Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth)....Pages 124-132
Privacy-Preserving Federated Brain Tumour Segmentation (Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu et al.)....Pages 133-141
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images (Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang)....Pages 142-150
Semi-supervised Multi-task Learning with Chest X-Ray Images (Abdullah-Al-Zubaer Imran, Demetri Terzopoulos)....Pages 151-159
Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation (Wei Huang, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding, Dong Ni)....Pages 160-168
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett’s Esophagus (Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers et al.)....Pages 169-177
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images (Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble)....Pages 178-186
End-to-End Boundary Aware Networks for Medical Image Segmentation (Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko)....Pages 187-194
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks (Juan Miguel Valverde, Artem Shatillo, Riccardo De Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka)....Pages 195-202
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration (Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li et al.)....Pages 203-211
Joint Shape Representation and Classification for Detecting PDAC (Fengze Liu, Lingxi Xie, Yingda Xia, Elliot Fishman, Alan Yuille)....Pages 212-220
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans (Fengze Liu, Yuyin Zhou, Elliot Fishman, Alan Yuille)....Pages 221-229
Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks (Jiali Liu, Wenxuan Wang, Tianyao Guan, Ningbo Zhao, Xiaoguang Han, Zhen Li)....Pages 230-237
Weakly Supervised Segmentation by a Deep Geodesic Prior (Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci)....Pages 238-246
Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps (Diya Sun, Yuru Pei, Yungeng Zhang, Yuke Guo, Gengyu Ma, Tianmin Xu et al.)....Pages 247-255
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI (Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu)....Pages 256-264
Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation (Shuo Zhou, Christopher R. Cox, Haiping Lu)....Pages 265-273
Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet (Jiang Tian, Li Liu, Zhongchao Shi, Feiyu Xu)....Pages 274-282
Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images (Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda)....Pages 283-291
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation (Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam)....Pages 292-300
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach (Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu)....Pages 301-309
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection (Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein et al.)....Pages 310-318
Dense-Residual Attention Network for Skin Lesion Segmentation (Lei Song, Jianzhe Lin, Z. Jane Wang, Haoqian Wang)....Pages 319-327
Confounder-Aware Visualization of ConvNets (Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl)....Pages 328-336
Detecting Lesion Bounding Ellipses with Gaussian Proposal Networks (Yi Li)....Pages 337-344
Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection (Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark Jones et al.)....Pages 345-354
Unsupervised Lesion Detection with Locally Gaussian Approximation (Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu)....Pages 355-363
A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection (Yanan Wei, Xuan Jiang, Kun Liu, Cheng Zhong, Zhongchao Shi, Jianjun Leng et al.)....Pages 364-372
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks (Danfeng Xie, Yiran Li, HanLu Yang, Donghui Song, Yuanqi Shang, Qiu Ge et al.)....Pages 373-381
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI (Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan)....Pages 382-390
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI (Jing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen)....Pages 391-399
A Maximum Entropy Deep Reinforcement Learning Neural Tracker (Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath)....Pages 400-408
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation (Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei et al.)....Pages 409-416
Select, Attend, and Transfer: Light, Learnable Skip Connections (Saeid Asgari Taghanaki, Aicha Bentaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu et al.)....Pages 417-425
Learning-Based Bone Quality Classification Method for Spinal Metastasis (Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang et al.)....Pages 426-434
Automated Segmentation of Skin Lesion Based on Pyramid Attention Network (Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang)....Pages 435-443
Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection (Guangrui Mu, Yanbo Chen, Dijia Wu, Yiq
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医学影像学中的机器学习:第十届国际研讨会,MLMI 2019,与MICCAI 2019联合举办,中国深圳,2019年10月13日,会议记录-Machine Learning in Medical Im
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