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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
Spatial Regularized Classification Network for Spinal Dislocation Diagnosis. 9-17 - Yiqiu Shen
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. 18-26 - Hykoush Asaturyan
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
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network. 54-62 - Changzheng Zhang, Dong Liu, Lanjun Wang
DCCL: A Benchmark for Cervical Cytology Analysis. 63-72 - Feng Yang
Smartphone-Supported Malaria Diagnosis Based on Deep Learning. 73-80 - Shengyang Li, Xiaoyun Zhang, Xiaoxia Wang, Yu-Min Zhong, Xiaofen Yao, Ya Zhang
Children's Neuroblastoma Segmentation Using Morphological Features. 81-88 - Noha M. Ghatwary, Massoud Zolgharni
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
Deep Active Lesion Segmentation. 98-105 - Shunbo Hu, Lintao Zhang
Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning. 106-114 - Wenbo Zheng
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
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
Semi-supervised Multi-task Learning with Chest X-Ray Images. 151-159 - Wei Huang
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
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. 169-177 - Jianbo Jiao
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
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. 195-202 - Dongming Wei
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
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. 221-229 - Jiali Liu, Wenxuan Wang, Tianyao Guan, Ningbo Zhao
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
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. 256-264 - Shuo Zhou
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
Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images. 283-291 - Balamurali Murugesan
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
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
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
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
A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection. 364-372 - Danfeng Xie, Yiran Li
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks. 373-381 - Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. 382-390 - Jing Zhang, Mingxia Liu
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. 391-399 - Shafa Balaram, Kai Arulkumaran, Tianhong Dai
A Maximum Entropy Deep Reinforcement Learning Neural Tracker. 400-408 - Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. 409-416 - Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng
Select, Attend, and Transfer: Light, Learnable Skip Connections. 417-425 - Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang
Learning-Based Bone Quality Classification Method for Spinal Metastasis. 426-434 - Huan Wang
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
Joint Localization of Optic Disc and Fovea in Ultra-widefield Fundus Images. 453-460 - Yuyin Zhou
Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. 461-469 - Zhishuai Zhang, Yuyin Zhou
Lesion Detection by Efficiently Bridging 3D Context. 470-478 - Awais Mansoor
Communal Domain Learning for Registration in Drifted Image Spaces. 479-488 - Sharib Ali
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
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
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. 533-540 - Robin Sandkühler, Christoph Jud, Grzegorz Bauman
Weakly Supervised Learning Strategy for Lung Defect Segmentation. 541-548 - Robin Sandkühler, Grzegorz Bauman
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
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
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
Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. 601-610 - Huan Wang
High- and Low-Level Feature Enhancement for Medical Image Segmentation. 611-619 - Fernando Navarro, Suprosanna Shit
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. 620-627 - Xueying Shi, Qi Dou
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. 628-636 - Mengliu Zhao
Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images. 637-645 - Dongyang Kuang
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
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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