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10th MLMI@MICCAI 2019: Shenzhen, China
- Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian:
Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11861, Springer 2019, ISBN 978-3-030-32691-3 - Xuhua Ren, Lichi Zhang, Dongming Wei
, Dinggang Shen, Qian Wang:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. 1-8 - Bolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang
, Xiaoyun Zhang, Yanfeng Wang, Hui Zhao:
Spatial Regularized Classification Network for Spinal Dislocation Diagnosis. 9-17 - Yiqiu Shen
, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. 18-26 - Hykoush Asaturyan
, E. Louise Thomas
, Julie Fitzpatrick, Jimmy D. Bell
, Barbara Villarini
:
Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function. 27-35 - Haomiao Ni, Hong Liu, Kuansong Wang, Xiangdong Wang, Xunjian Zhou, Yueliang Qian:
WSI-Net: Branch-Based and Hierarchy-Aware Network for Segmentation and Classification of Breast Histopathological Whole-Slide Images. 36-44 - Han Zhang, Albert C. S. Chung:
Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary Information. 45-53 - Sen Zhang, Changzheng Zhang, Lanjun Wang
, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi
, Jiebo Luo
:
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network. 54-62 - Changzheng Zhang, Dong Liu, Lanjun Wang
, Yaoxin Li, Xiaoshi Chen, Rui Luo, Shuanlong Che, Hehua Liang, Yinghua Li, Si Liu, Dandan Tu, Guojun Qi
, Pifu Luo, Jiebo Luo
:
DCCL: A Benchmark for Cervical Cytology Analysis. 63-72 - Feng Yang
, Hang Yu, Kamolrat Silamut, Richard James Maude
, Stefan Jaeger
, Sameer K. Antani
:
Smartphone-Supported Malaria Diagnosis Based on Deep Learning. 73-80 - Shengyang Li, Xiaoyun Zhang, Xiaoxia Wang, Yu-Min Zhong, Xiaofen Yao, Ya Zhang
, Yanfeng Wang:
Children's Neuroblastoma Segmentation Using Morphological Features. 81-88 - Noha M. Ghatwary, Massoud Zolgharni
, Xujiong Ye:
GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images. 89-97 - Ali Hatamizadeh, Assaf Hoogi
, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos:
Deep Active Lesion Segmentation. 98-105 - Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang:
Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning. 106-114 - Wenbo Zheng
, Chao Gou
, Lan Yan:
A Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification. 115-123 - Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
:
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. 124-132 - Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke
, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin
, M. Jorge Cardoso
, Andrew Feng:
Privacy-Preserving Federated Brain Tumour Segmentation. 133-141 - Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang:
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. 142-150 - Abdullah-Al-Zubaer Imran
, Demetri Terzopoulos:
Semi-supervised Multi-task Learning with Chest X-Ray Images. 151-159 - Wei Huang
, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding, Dong Ni:
Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation. 160-168 - Joost van der Putten, Jeroen de Groof, Fons van der Sommen
, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman
, Peter H. N. de With:
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. 169-177 - Jianbo Jiao
, Ana I. L. Namburete
, Aris T. Papageorghiou
, J. Alison Noble
:
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. 178-186 - Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko
:
End-to-End Boundary Aware Networks for Medical Image Segmentation. 187-194 - Juan Miguel Valverde
, Artem Shatillo, Riccardo de Feo
, Olli Gröhn, Alejandra Sierra
, Jussi Tohka
:
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. 195-202 - Dongming Wei
, Sahar Ahmad, Zhengwang Wu
, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang:
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration. 203-211 - Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille
:
Joint Shape Representation and Classification for Detecting PDAC. 212-220 - Fengze Liu, Yuyin Zhou
, Elliot K. Fishman, Alan L. Yuille
:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. 221-229 - Jiali Liu, Wenxuan Wang, Tianyao Guan, Ningbo Zhao, Xiaoguang Han, Zhen Li:
Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks. 230-237 - Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci
:
Weakly Supervised Segmentation by a Deep Geodesic Prior. 238-246 - Diya Sun, Yuru Pei, Yungeng Zhang, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps. 247-255 - Wenwen Li, Jian Lou, Shuo Zhou
, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. 256-264 - Shuo Zhou
, Christopher R. Cox, Haiping Lu:
Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. 265-273 - Jiang Tian, Li Liu, Zhongchao Shi, Feiyu Xu:
Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet. 274-282 - Shohei Hayashi, Bisser Raytchev, Toru Tamaki
, Kazufumi Kaneda:
Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images. 283-291 - Balamurali Murugesan
, Kaushik Sarveswaran
, Sharath M. Shankaranarayana
, Keerthi Ram, Jayaraj Joseph
, Mohanasankar Sivaprakasam:
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. 292-300 - Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach. 301-309 - Riqiang Gao, Yuankai Huo, Shunxing Bao
, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson
, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. 310-318 - Lei Song, Jianzhe Lin, Z. Jane Wang, Haoqian Wang:
Dense-Residual Attention Network for Skin Lesion Segmentation. 319-327 - Qingyu Zhao, Ehsan Adeli
, Adolf Pfefferbaum, Edith V. Sullivan
, Kilian M. Pohl
:
Confounder-Aware Visualization of ConvNets. 328-336 - Yi Li
:
Detecting Lesion Bounding Ellipses with Gaussian Proposal Networks. 337-344 - Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley
, Mark G. Jones
, Christopher Brereton, John R. Hurst
, David J. Hawkes, Joseph Jacob:
Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection. 345-354 - Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Unsupervised Lesion Detection with Locally Gaussian Approximation. 355-363 - Yanan Wei, Xuan Jiang, Kun Liu
, Cheng Zhong, Zhongchao Shi, Jianjun Leng, Feiyu Xu:
A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection. 364-372 - Danfeng Xie, Yiran Li
, HanLu Yang, Donghui Song, Yuanqi Shang, Qiu Ge, Li Bai, Ze Wang:
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks. 373-381 - Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang
, James S. Duncan:
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. 382-390 - Jing Zhang, Mingxia Liu
, Yongsheng Pan
, Dinggang Shen:
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. 391-399 - Shafa Balaram, Kai Arulkumaran, Tianhong Dai
, Anil Anthony Bharath:
A Maximum Entropy Deep Reinforcement Learning Neural Tracker. 400-408 - Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei
, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi
:
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. 409-416 - Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng
, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. 417-425 - Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang
, Yan-Feng Wang, Hui Zhao:
Learning-Based Bone Quality Classification Method for Spinal Metastasis. 426-434 - Huan Wang
, Guotai Wang
, Ze Sheng, Shaoting Zhang:
Automated Segmentation of Skin Lesion Based on Pyramid Attention Network. 435-443 - Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao:
Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. 444-452 - Zhuoya Yang, Xirong Li
, Xixi He, Dayong Ding, Yanting Wang, Fangfang Dai, Xuemin Jin:
Joint Localization of Optic Disc and Fovea in Ultra-widefield Fundus Images. 453-460 - Yuyin Zhou
, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille
:
Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. 461-469 - Zhishuai Zhang, Yuyin Zhou
, Wei Shen, Elliot K. Fishman, Alan L. Yuille
:
Lesion Detection by Efficiently Bridging 3D Context. 470-478 - Awais Mansoor
, Marius George Linguraru:
Communal Domain Learning for Registration in Drifted Image Spaces. 479-488 - Sharib Ali
, Jens Rittscher
:
Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping. 489-497 - Avelino Javer, Jens Rittscher
:
Semantic Filtering Through Deep Source Separation on Microscopy Images. 498-506 - Yiqiao Jiang
, Huifang Huang
, Jingyu Liu
, Chong-Yaw Wee, Yang Li:
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis. 507-515 - Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. 516-524 - Siyuan Wei, Li Wang:
Learn to Step-wise Focus on Targets for Biomedical Image Segmentation. 525-532 - Mohammad Arafat Hussain
, Ghassan Hamarneh
, Rafeef Garbi:
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. 533-540 - Robin Sandkühler, Christoph Jud, Grzegorz Bauman
, Corin Willers, Orso Pusterla, Sylvia Nyilas, Alan Peters, Lukas Ebner, Enno Stranziger, Oliver Bieri, Philipp Latzin, Philippe C. Cattin:
Weakly Supervised Learning Strategy for Lung Defect Segmentation. 541-548 - Robin Sandkühler, Grzegorz Bauman
, Sylvia Nyilas, Orso Pusterla, Corin Willers, Oliver Bieri
, Philipp Latzin, Christoph Jud, Philippe C. Cattin:
Gated Recurrent Neural Networks for Accelerated Ventilation MRI. 549-556 - Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu:
A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. 557-565 - Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab:
Deep Residual Learning for Instrument Segmentation in Robotic Surgery. 566-573 - Tongxue Zhou
, Su Ruan
, Haigen Hu, Stéphane Canu:
Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. 574-582 - Antonio Garcia-Uceda Juarez, Raghavendra Selvan
, Zaigham Saghir, Marleen de Bruijne
:
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. 583-591 - Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen:
Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. 592-600 - Ziqi Zhou, Xinna Guo, Wanqi Yang, Yinghuan Shi, Luping Zhou
, Lei Wang, Ming Yang:
Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. 601-610 - Huan Wang
, Guotai Wang
, Zhihan Xu, Wenhui Lei, Shaoting Zhang:
High- and Low-Level Feature Enhancement for Medical Image Segmentation. 611-619 - Xueying Shi, Qi Dou
, Cheng Xue, Jing Qin
, Hao Chen
, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. 628-636 - Mengliu Zhao
, Ghassan Hamarneh
:
Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images. 637-645 - Dongyang Kuang
, Tanya Schmah
:
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration. 646-654 - Saurabh Garg, Martin J. McKeown
:
Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson's Disease. 655-663 - Florence Yellin, Benjamín Béjar Haro
, Benjamin D. Haeffele, Evelien Mathieu, Christian Pick, Stuart C. Ray
, René Vidal:
Joint Holographic Detection and Reconstruction. 664-672 - Yuxuan Xiong, Bo Du, Pingkun Yan:
Reinforced Transformer for Medical Image Captioning. 673-680 - Minqing Zhang, Dijia Wu, Qin Liu, Qingfeng Li, Yiqiang Zhan, Xiang Sean Zhou:
Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph. 681-689
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