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International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention

召开年：2019
召开地：Shenzhen(CN)
出版时间：-

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1.Preface

机译：前言
- 作者：Heung-Il Suk;Mingxia Liu;Pingkun Yan;Chunfeng Lian
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
2.Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization

机译：具有对抗性防御和任务重组的小数据集脑MR图像分割
- 作者：Xuhua Ren;Lichi Zhang;Dongming Wei;Dinggang Shen;Qian Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
3.Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

机译：全球知名的多实例乳腺癌筛查分类器
- 作者：Yiqiu Shen;Nan Wu;Jason Phang;Jungkyu Park;Gene Kim;Linda Moy;Kyunghyun Cho;Krzysztof J. Geras
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
4.Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function

机译：使用Hausdorff-Sine损失函数推进多协议MRI体积中的胰腺分割
- 作者：Hykoush Asaturyan;E. Louise Thomas;Julie Fitzpatrick;Jimmy D. Bell;Barbara Villarini
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Automatic pancreas segmentation;
- Energy-minimisation;
- MRI;
- Hausdorff loss function;
5.WSI-Net: Branch-Based and Hierarchy-Aware Network for Segmentation and Classification of Breast Histopathological Whole-Slide Images

机译：WSI-Net：用于乳腺癌组织病理学全幻灯片图像的分割和分类的基于分支机构和层次结构的网络
- 作者：Haomiao Ni;Hong Liu;Kuansong Wang;Xiangdong Wang;Xunjian Zhou;Yueliang Qian
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
6.Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary Information

机译：具有深度聚合3D上下文特征和辅助信息的病变检测
- 作者：Han Zhang;Albert C. S. Chung
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
7.MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network

机译：MSAFusionNet：基于多个子空间注意的深度多模式融合网络
- 作者：Sen Zhang;Changzheng Zhang;Lanjun Wang;Cixing Li;Dandan Tu;Rui Luo;Guojun Qi;Jiebo Luo
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Deep learning;
- Multi-modal learning;
- Segmentation;
8.DCCL: A Benchmark for Cervical Cytology Analysis

机译：DCCL：宫颈细胞学分析的基准
- 作者：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
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Cervical cancer screening;
- Liquid-based cytology;
- Deep learning;
9.Smartphone-Supported Malaria Diagnosis Based on Deep Learning

机译：基于深度学习的智能手机支持的疟疾诊断
- 作者：Feng Yang;Hang Yu;Kamolrat Silamut;Richard J. Maude;Stefan Jaeger;Sameer Antani
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Mobile health;
- Computer-aided diagnosis;
- Malaria;
- Deep learning;
- Image analysis;
10.Children's Neuroblastoma Segmentation Using Morphological Features

机译：利用形态特征对儿童神经母细胞瘤进行细分
- 作者：Shengyang Li;Xiaoyun Zhang;Xiaoxia Wang;Yumin Zhong;Xiaofen Yao;Ya Zhang;Yanfeng Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Neuroblastoma;
- Morphological constraint;
- Segmentation;
11.Shape-Aware Complementary-Task Learning for Multi-organ Segmentation

机译：用于多器官分割的形状感知互补任务学习
- 作者：Fernando Navarro;Suprosanna Shit;Ivan Ezhov;Johannes Paetzold;Andrei Gafita;Jan C. Peeken;Stephanie E. Combs;Bjoern H. Menze
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Multi-task learning;
- Complementary-task;
- Multi-organ segmentation;
12.An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

机译：一种减少皮肤病变分析中注释成本的主动学习方法
- 作者：Xueying Shi;Qi Dou;Cheng Xue;Jing Qin;Hao Chen;Pheng-Ann Heng
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
13.Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images

机译：Tree-LSTM：使用LSTM编码3D图像中的解剖树预测中的内存
- 作者：Mengliu Zhao;Ghassan Hamarneh
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
14.FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration

机译：FAIM-用于无监督3D医学图像配准的ConvNet方法
- 作者：Dongyang Kuang;Tanya Schmah
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Image registration;
- Convolutional neural network;
- Unsupervised registration;
- Folding penalization;
15.Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson's Disease

机译：诊断帕金森氏病的功能数据和长期短期记忆网络
- 作者：Saurabh Garg;Martin J. McKeown
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
16.Joint Holographic Detection and Reconstruction

机译：联合全息检测与重建
- 作者：Florence Yellin;Benjamin Bejar;Benjamin D. Haeffele;Evelien Mathieu;Christian Pick;Stuart C. Ray;Rene Vidal
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Holography;
- Convolutional sparse coding;
- Phase recovery;
17.Reinforced Transformer for Medical Image Captioning

机译：用于医学图像字幕的增强型变压器
- 作者：Yuxuan Xiong;Bo Du;Pingkun Yan
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
18.Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph

机译：多任务卷积神经网络用于手骨片的联合骨龄评估和骨化中心检测
- 作者：Minqing Zhang;Dijia Wu;Qin Liu;Qingfeng Li;Yiqiang Zhan;Xiang Sean Zhou
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
19.Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images

机译：从不成对的超声图像中了解解剖结构的自我监督胎儿MRI合成
- 作者：Jianbo Jiao;Ana I. L. Namburete;Aris T. Papageorghiou;J. Alison Noble
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
20.End-to-End Boundary Aware Networks for Medical Image Segmentation

机译：用于医学图像分割的端到端边界感知网络
- 作者：Ali Hatamizadeh;Demetri Terzopoulos;Andriy Myroneriko
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Medical image segmentation;
- Semantic segmentation;
- Convolutional neural networks;
- Deep learning;
21.Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks

机译：具有完全卷积网络的自动啮齿动物MRI病变分割
- 作者：Juan Miguel Valverde;Artem Shatillo;Riccardo De Feo;Olli Groehn;Alejandra Sierra;Jussi Tohka
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Lesion segmentation;
- Deep learning;
- Rat brain;
- Magnetic resonance imaging;
22.Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration

机译：深度学习对脑MR图像的形态学简化，以促进可变形的配准
- 作者：Dongming Wei;Sahar Ahmad;Zhengwang Wu;Xiaohuan Cao;Xuhua Ren;Gang Li;Dinggang Shen;Qian Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Deformable registration;
- Brain MRI;
- Deep learning;
- Morphology;
23.Joint Shape Representation and Classification for Detecting PDAC

机译：检测PDAC的联合形状表示和分类
- 作者：Fengze Liu;Lingxi Xie;Yingda Xia;Elliot Fishman;Alan Yuille
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
24.FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

机译：FusionNet：融合形状和纹理以在3D腹部CT扫描中进行异常检测
- 作者：Fengze Liu;Yuyin Zhou;Elliot Fishman;Alan Yuille
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
25.Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks

机译：使用多指标指导的深层神经网络诊断超声肝纤维化
- 作者：Jiali Liu;Wenxuan Wang;Tianyao Guan;Ningbo Zhao;Xiaoguang Han;Zhen Li
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Multi-indicator;
- Liver fibrosis diagnosis;
- Ultrasound;
26.Weakly Supervised Segmentation by a Deep Geodesic Prior

机译：深度测地先验的弱监督分割
- 作者：Aliasghar Mortazi;Naji Khosravan;Drew A. Torigian;Sila Kurugol;Ulas Bagci
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Medical image segmentation;
- Deep learning;
- Shape prior;
- Weakly supervised;
- Geodesic prior;
27.Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps

机译：使用深度功能图进行对应函授的体积描述符学习
- 作者：Diya Sun;Yuru Pei;Yungeng Zhang;Yuke Guo;Gengyu Ma;Tianmin Xu;Hongbin Zha
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
28.Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI

机译：Sturm：fMRI的稀疏输卵管正则化多线性回归
- 作者：Wenwen Li;Jian Lou;Shuo Zhou;Haiping Lu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
29.Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation

机译：通过域自适应改善fMRI的全脑神经解码
- 作者：Shuo Zhou;Christopher R. Cox;Haiping Lu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
30.Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet

机译：使用GLC-UNet从肝脏的CT量自动进行Couinaud分割
- 作者：Jiang Tian;Li Liu;Zhongchao Shi;Feiyu Xu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
31.Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images

机译：仅使用少量训练图像的类似视网膜的顺序注意机制的生物医学图像分割
- 作者：Shohei Hayashi;Bisser Raytchev;Toru Tamaki;Kazufumi Kaneda
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Image segmentation;
- Attention;
- Retina;
- iPS cells;
32.Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation

机译：Conv-MCD：用于医学图像分割的即插即用多任务模块
- 作者：Balamurali Murugesan;Kaushik Sarveswaran;Sharath M. Shankaranarayana;Keerthi Ram;Jayaraj Joseph;Mohanasankar Sivaprakasam
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Multi-task learning;
- Segmentation;
- Deep learning;
33.Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach

机译：在静止状态动力学中检测异常：一种无监督的学习方法
- 作者：Meenakshi Khosla;Keith Jamison;Amy Kuceyeski;Mert R. Sabuneu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
34.Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

机译：距离LSTM：长期短期记忆模型在肺癌检测中的时间间隔门
- 作者：Riqiang Gao;Yuankai Huo;Shunxing Ban;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
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Lung cancer;
- Longitudinal;
- LSTM;
- Time distance;
- TEM;
35.Dense-Residual Attention Network for Skin Lesion Segmentation

机译：密集残差注意网络用于皮肤病变分割
- 作者：Lei Song;Jianzhe Lin;Z. Jane Wang;Haoqian Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Skin lesion segmentation;
- Dense-residual block;
- Attention gate;
- Convolution neural networks;
36.Confounder-Aware Visualization of ConvNets

机译：ConvNets的感知混杂者的可视化
- 作者：Qingyu Zhao;Ehsan Adeli;Adolf Pfefferbaum;Edith V. Sullivan;Kilian M. Pohl
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
37.Detecting Lesion Bounding Ellipses with Gaussian Proposal Networks

机译：用高斯建议网络检测病灶包围椭圆
- 作者：Yi Li
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Lesion detection;
- Bounding ellipses;
- Deep learning;
38.Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection

机译：使用贝叶斯变化点检测将气道几何建模为股市数据
- 作者：Kin Quan;Ryutaro Tanno;Michael Duong;Arj un Nair;Rebecca Shipley;Mark Jones;Christopher Brereton;John Hurst;David Hawkes;Joseph Jacob
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
39.Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection

机译：特征金字塔网络的Relu级联用于CT肺结节检测
- 作者：Guangrui Mu;Yanbo Chen;Dijia Wu;Yiqiang Zhan;Xiang Sean Zhou;Yaozong Gao
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Deep learning;
- Feature pyramid network;
- Pulmonary nodule detection;
- Cascade learning;
- Ensemble learning;
40.Joint Localization of Optic Disc and Fovea in Ultra-widefield Fundus Images

机译：视盘和中央凹在超宽视野眼底图像中的联合定位
- 作者：Zhuoya Yang;Xirong Li;Xixi He;Dayong Ding;Yanting Wang;Fangfang Dai;Xuemin Jin
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Object localization;
- UWF fundus image;
- Faster R-CNN;
41.Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures

机译：骨盆骨折后活动性出血多灶分割的多尺度注意力网络
- 作者：Yuyin Zhou;David Dreizin;Yin gwei Li;Zhishuai Zhang;Yan Wang;Alan Yuille
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
42.Lesion Detection by Efficiently Bridging 3D Context

机译：通过有效桥接3D上下文进行病变检测
- 作者：Zhishuai Zhang;Yuyin Zhou;Wei Shen;Elliot Fishman;Alan Yuille
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
43.Communal Domain Learning for Registration in Drifted Image Spaces

机译：在漂移图像空间中注册的公共领域学习
- 作者：Awais Mansoor;Marius George Linguraru
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Image registration;
- Multimodal images;
- Multisequence images;
- Domain adaptation;
44.Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping

机译：Conv2Warp：具有连续卷积和扭曲的无监督可变形图像配准
- 作者：Sharib Ali;Jens Rittscher
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
45.Semantic Filtering Through Deep Source Separation on Microscopy Images

机译：通过深源分离对显微图像进行语义过滤
- 作者：Avelino Javer;Jens Rittscher
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Microscopy image analysis;
- Semantic segmentation;
- Data augmentation;
- Deep learning;
46.Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis

机译：使用并行分层BiLSTM进行MCI诊断的自适应功能连接网络
- 作者：Yiqiao Jiang;Huifang Huang;Jingyu Liu;Chong-Yaw Wee;Yang Li
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
47.Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis

机译：基于多模板的自动加权自适应结构学习用于ASD诊断
- 作者：Fanglin Huang;Peng Yang;Shan Huang;Le Ou-Yang;Tianfu Wang;Baiying Lei
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Autism spectrum disorder;
- Multi-template;
- Adaptive structure learning;
- Auto-weighted;
48.Learn to Step-wise Focus on Targets for Biomedical Image Segmentation

机译：学习逐步专注于生物医学图像分割的目标
- 作者：Siyuan Wei;Li Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
49.Unsupervised Lesion Detection with Locally Gaussian Approximation

机译：局部高斯近似的无监督病变检测
- 作者：Xiaoran Chen;Nick Pawlowski;Ben Glocker;Ender Konukoglu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
50.A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection

机译：用于肝脏病变检测的混合多空域和多尺度网络
- 作者：Yanan Wei;Xuan Jiang;Kun Liu;Cheng Zhong;Zhongchao Shi;Jianjun Leng;Feiyu Xu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
51.BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks

机译：基于大胆功能磁共振成像的脑灌注预测使用深度扩张的广泛激活网络
- 作者：Danfeng Xie;Yiran Li;HanLu Yang;Donghui Song;Yuanqi Shang;Qiu Ge;Li Bai;Ze Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Arterial spin labeling;
- BOLD fMRI;
- Deep learning;
- Dilated convolution;
- Wide activation;
- Residual learning;
52.Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI

机译：联合判别式和生成式递归神经网络用于功能磁共振成像学习
- 作者：Nicha C. Dvornek;Xiaoxiao Li;Juntang Zhuang;James S. Duncan
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
53.Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI

机译：使用结构MRI的无监督条件共识对抗网络来识别脑部疾病
- 作者：Jing Zhang;Mingxia Liu;Yongsheng Pan;Dinggang Shen
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
54.A Maximum Entropy Deep Reinforcement Learning Neural Tracker

机译：最大熵深度强化学习神经跟踪器
- 作者：Shafa Balaram;Kai Arulkumaran;Tianhong Dai;Anil Anthony Bharath
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Tracking;
- 'tracing;
- Neuron;
- Axon - Reinforcement learning;
- Maximum entropy;
55.Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation

机译：用于脑MR图像密集分割的弱监督置信学习
- 作者：Bin Xiao;Xiaoqing Cheng;Qingfeng Li;Qian Wang;Lichi Zhang;Dongming Wei;Yiqiang Zhan;Xiang Sean Zhou;Zhong Xue;Guangming Lu;Feng Shi
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- MRI;
- Brain segmentation;
- CNN;
- Weakly supervised;
56.Select, Attend, and Transfer: Light, Learnable Skip Connections

机译：选择，参加和转移：轻松，易学的跳过连接
- 作者：Saeid Asgari Taghanaki;Aicha Bentaieb;Anmol Sharma;S. Kevin Zhou;Yefeng Zheng;Bogdan Georgescu;Puneet Sharma;Zhoubing Xu;Dorin Comaniciu;Ghassan Hamarneh
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Deep neural networks;
- Skip connections;
- Image segmentation;
57.Learning-Based Bone Quality Classification Method for Spinal Metastasis

机译：基于学习的脊柱转移骨质量分类方法
- 作者：Shiqi Peng;Bolin Lai;Guangyu Yao;Xiaoyun Zhang;Ya Zhang;Yan-Feng Wang;Hui Zhao
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Spinal metastasis;
- Bone quality classification;
- Multi-task learning;
- Self-paced learning;
58.Automated Segmentation of Skin Lesion Based on Pyramid Attention Network

机译：基于金字塔注意网络的皮肤病变自动分割
- 作者：Huan Wang;Guotai Wang;Ze Sheng;Shaoting Zhang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Skin lesion segmentation;
- Attention;
- Pyramid module;
59.Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network

机译：基于可学习的图像直方图的深度神经网络进行肾细胞癌分期
- 作者：Mohammad Arafat Hussain;Ghassan Hamarneh;Rafeef Garbi
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
60.Weakly Supervised Learning Strategy for Lung Defect Segmentation

机译：肺缺陷分割的弱监督学习策略
- 作者：Robin Sandkuhler;Christoph Jud;Grzegorz Bauman;Corin Willers;Orso Pusterla;Sylvia Nyilas;Alan Peters;Lukas Ebner;Enno Stranziger;Oliver Bieri;Philipp Latzin;Philippe C. Cattin
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
61.Gated Recurrent Neural Networks for Accelerated Ventilation MRI

机译：门控递归神经网络用于加速通气MRI
- 作者：Robin Sandkiihler;Grzegorz Bauman;Sylvia Nyilas;Orso Pusterla;Corin Willers;Oliver Bieri;Philipp Latzin;Christoph Jud;Philippe C. Cattin
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Ventilation MRI;
- Gated Recurrent Units;
62.A Cascaded Multi-modality Analysis in Mild Cognitive Impairment

机译：轻度认知障碍的级联多模态分析
- 作者：Lu Zhang;Akib Zaman;Li Wang;Jingwen Yan;Dajiang Zhu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Mild Cognitive Impairment;
- GCN;
- RNN;
63.Deep Residual Learning for Instrument Segmentation in Robotic Surgery

机译：机器人手术器械细分的深度残差学习
- 作者：Daniil Pakhomov;Vittal Premachandran;Max Allan;Mahdi Azizian;Nassir Navab
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
64.Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI

机译：结合卷积和深度监督的深度学习模型用于多参数MRI中的脑肿瘤分割
- 作者：Tongxue Zhou;Su Ruan;Haigen Hu;Stephane Canu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Deep learning;
- Brain tumor segmentation;
- Residual block;
- Deep supervision;
65.A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs

机译：基于联合3D UNet图神经网络的胸部CT气道分割方法
- 作者：Antonio Garcia-Uceda Juarez;Raghavendra Selvan;Zaigham Saghir;Marleen de Bruijne
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Convolutional neural networks;
- Graph neural network;
- Graph convolution;
- Airway segmentation;
66.Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision

机译：使用具有深度监督功能的多阶段U-Net自动进行胎儿脑提取
- 作者：Jingjiao Lou;Dengwang Li;Toan Due Bui;Fenqiang Zhao;Liang Sun;Gang Li;Dinggang Shen
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Fetal MRI;
- Brain extraction;
- Convolutional neural network;
67.Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation

机译：跨模态注意力引导卷积网络用于多模态心脏分割
- 作者：Ziqi Zhou;Xinna Guo;Wanqi Yang;Yinghuan Shi;Luping Zhou;Lei Wang;Ming Yang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Multi-modal cardiac segmentation;
- Cross-modal image synthesis;
- Cross-modal attention;
68.High- and Low-Level Feature Enhancement for Medical Image Segmentation

机译：用于医学图像分割的高级和低级特征增强
- 作者：Huan Wang;Guotai Wang;Zhihan Xu;Wenhui Lei;Shaoting Zhang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Medical image;
- Segmentation;
- Feature enhancement;
- Convolutional networks;
69.GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images

机译：GFD更快的R-CNN：Gabor分形DenseNet更快的R-CNN，用于自动检测内窥镜图像中的食道异常
- 作者：Noha Ghatwary;Massoud Zolgharni;Xujiong Ye
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Gabor Fractal;
- DenseNet;
- Faster R-CNN;
- Esophagitis;
- EAC;
70.Deep Active Lesion Segmentation

机译：深度活动性病变分割
- 作者：Ali Hatamizadeh;Assaf Hoogi;Debleena Sengupta;Wuyue Lu;Brian Wilcox;Daniel Rubin;Demetri Terzopoulos
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Lesion segmentation;
- Active contour model;
- Level sets;
- Deep learning;
71.Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning

机译：婴儿大脑可变形注册使用全局和局部标签驱动的深度回归学习
- 作者：Shunbo Hu;Lintao Zhang;Guoqiang Li;Mingtao Liu;Deqian Fu;Wenyin Zhang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Infant brain MR images;
- Deformable registration;
- Label-driven learning;
72.A Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification

机译：嵌入具有皮肤病变分类先验特征的关系哈希网络
- 作者：Wenbo Zheng;Chao Gou;Lan Yan
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Skin lesion classification;
- Meta-learning;
- Prior feature;
- Deep-hashing;
73.End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

机译：端到端对抗形状学习用于腹部器官深度分割
- 作者：Jinzheng Cai;Yingda Xia;Dong Yang;Daguang Xu;Lin Yang;Holger Roth
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- 3D segmentation;
- Abdomen organ;
- Shape learning;
- Surface point generation;
- Adversarial learning;
74.Privacy-Preserving Federated Brain Tumour Segmentation

机译：隐私保护的联合脑肿瘤分割
- 作者：Wenqi Li;Fausto Milletari;Daguang Xu;Nicola Rieke;Jonny Hancox;Wentao Zhu;Maximilian Baust;Yan Cheng;Sebastien Ourselin;M. Jorge Cardoso;Andrew Feng
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
75.Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images

机译：残余注意生成对抗网络用于常规结肠癌组织学图像核检测
- 作者：Junwei Li;Wei Shao;Zhongnian Li;Weida Li;Daoqiang Zhang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
76.Semi-supervised Multi-task Learning with Chest X-Ray Images

机译：胸部X射线图像的半监督多任务学习
- 作者：Abdullah-Al-Zubaer Imran;Demetri Terzopoulos
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Semi-supervised;
- Multi-tasking;
- Generative modeling;
- Classification;
- Segmentation;
- KL-Tversky loss;
- Chest X-ray;
77.Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation

机译：基于WGAN-GP的新型双向图像合成与基于GMM的噪声生成
- 作者：Wei Huang;Mingyuan Luo;Xi Liu;Peng Zhang;Huijun Ding;Dong Ni
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Medical images synthesis;
- Generative adversarial network;
- Dementia diseases diagnosis;
78.Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus

机译：伪标记自举和多阶段转移学习用于Barrett食管发育异常的分类和定位
- 作者：Joost van der Putten;Jeroen de Groof;Fons van der Sommen;Maarten Struyvenberg;Svitlana Zinger;Wouter Curvers;Erik Schoon;Jacques Bergman;Peter H. N. de With
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2019年
- Convolutional neural network;
- Semi-supervised learning;
- Transfer learning;
- Barrett's Esophagus;
79.A Novel fMRI Representation Learning Framework with GAN

机译：一种新的FMRI代表与GAN学习框架
- 作者：Qinglin Dong;Ning Qiang;Jinglei Lv;Xiang Li;Liang Dong;Tianming Liu;Quanzheng Li
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- GAN;
- fMRI;
- Functional brain networks;
80.Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network

机译：通过深度多提示回归网络将青少年脑MRI连接到肥胖
- 作者：Hao Guan;Erkun Yang;Li Wang;Pew-Thian Yap;Mingxia Liu;Dinggang Shen
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
81.Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation

机译：标签的分割：来自掩模局部的自动冠状动脉标记
- 作者：Zhuowei Li;Qing Xia;Wenji Wang;Zhennan Yan;Ruohan Yin;Changjie Pan;Dimitris Metaxas
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Coronary artery labeling;
- Parsing;
- Point cloud;
- Deep learning;
82.Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation

机译：无监督的MRI均质化：对儿科前视通路分割的应用
- 作者：Carlos Tor-Diez;Antonio Reyes Porras;Roger J. Packer;Robert A. Avery;Marius George Linguraru
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- MRI homogenization;
- Brain MRI segmentation;
- Deep learning;
83.Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer

机译：联合外观特征域适应：应用于QSM分段传输
- 作者：Bin Xiao;Naying He;Qian Wang;Zhong Xue;Lei Chen;Fuhua Yan;Feng Shi;Dinggang Shen
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Domain adaptation;
- QSM;
- Substantia nigra;
- Segmentation;
- Region-based histogram matching;
- Domain regularization layer;
84.Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification

机译：从休息状态FMRI构建高阶动态功能连接网络，用于脑痴呆症识别
- 作者：Chunxiang Feng;Biao Jie;Xintao Ding;Daoqiang Zhang;Mingxia Liu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
85.Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening

机译：高通量宫颈异常筛选的分层和鲁棒病理学图像读数
- 作者：Ming Zhou;Lichi Zhang;Xiaping Du;Xi Ouyang;Xin Zhang;Qijia Shen;Qian Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
86.Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA

机译：多视图CCA揭示早产和术语婴儿大脑之间的间歇结构和功能差异
- 作者：Zhibin He;Shu Zhang;Songyao Zhang;Yin Zhang;Xintao Hu;Xi Jiang;Lei Guo;Tianming Liu;Lei Du;Tuo Zhang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Preterm;
- Multi-view CCA;
- Locality preserving projection;
87.Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation

机译：提取和利用结节特征与肺部染色的局部特征增强
- 作者：Sebastian Guendel;Arnaud A. A. Setio;Sasa Grbic;Andreas Maier;Dorin Comaniciu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Nodule classification;
- Local feature augmentation;
- Context encoder;
- Chest X-ray;
88.Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN

机译：使用cgan的源和目标采集系统之间的乳房X线图图像转换
- 作者：Zahra Ghanian;Andreu Badal;Kenny Cha;Mohammad Mehdi Farhangi;Nicholas Petrick;Berkman Sahiner
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Mammogram;
- Acquisition system;
- Neural network;
- Conditional GAN;
- Composite loss;
- Edge learning;
- Modulation transfer function;
89.Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More

机译：预测导管烧蚀结果与预热心律数据：更少
- 作者：Lisa Y. W. Tang;Kendall Ho;Roger C. Tarn;Nathaniel M. Hawkins;Michael Lim;Jason G. Andrade
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
90.Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss

机译：使用一般和自适应鲁棒损失的噪声感知标准剂量宠物重建
- 作者：Lei Xiang;Long Wang;Enhao Gong;Greg Zaharchuk;Tao Zhang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
91.Informative Feature-Guided Siamese Network for Early Diagnosis of Autism

机译：信息化专题引导暹罗网络早期诊断自闭症
- 作者：Kun Gao;Yue Sun;Sijie Niu;Li Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Early diagnosis;
- Siamese network;
- Subject-specific attention;
- Autism spectrum disorder;
92.Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI

机译：休息状态FMRI自动抑郁症的自动识别临时自适应图卷积网络
- 作者：Dongren Yao;Jing Sui;Erkun Yang;Pew-Thian Yap;Dinggang Shen;Mingxia Liu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
93.Error Attention Interactive Segmentation of Medical Image Through Matting and Fusion

机译：通过消光和融合误差注意医学图像的交互式分割
- 作者：Weifeng Hu;Xiaofen Yao;Zhou Zheng;Xiaoyun Zhang;Yumin Zhong;Xiaoxia Wang;Ya Zhang;Yanfeng Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Interactive medical image segmentation;
- Error attention;
- Attention fusion;
- Region matting;
94.Semi-supervised Segmentation with Self-training Based on Quality Estimation and Refinement

机译：基于质量估算和改进的自我培训半监督分割
- 作者：Zhou Zheng;Xiaoxia Wang;Xiaoyun Zhang;Yumin Zhong;Xiaofen Yao;Ya Zhang;Yanfeng Wang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Medical image segmentation;
- Semi-supervised learning;
- Quality estimation and refinement;
95.3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies

机译：用于过多数量的3D分段网络：上体中的不同骨细分
- 作者：Eva Schnider;Antal Horvath;Georg Rauter;Azhar Zam;Magdalena Mueller-Gerbl;Philippe C. Cattin
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- 3D segmentation;
- Deep learning;
- Many label segmentation;
96.Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network

机译：动脉旋转标记MR成像的超分辨率使用无监督的多尺度生成对抗网络
- 作者：Jianan Cui;Kuang Gong;Paul Han;Huafeng Liu;Quanzheng Li
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Arterial spin labeling MRI;
- Super resolution;
- Unsupervised deep learning;
- Multi-scale;
- Generative adversarial network;
97.Self-recursive Contextual Network for Unsupervised 3D Medical Image Registration

机译：无监督3D医学图像配准的自递归上下文网络
- 作者：Bo Hu;Shenglong Zhou;Zhiwei Xiong;Feng Wu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Medical image registration;
- Self-recursive;
- Contextual;
98.Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy

机译：基于多阶段集合策略的PD-L1表达评估自动肿瘤比例
- 作者：Yuxin Kang;Hansheng Li;Xin Han;Boju Pan;Yuan Li;Yan Jin;Qirong Bu;Lei Cui;Jun Feng;Lin Yang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
99.Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest

机译：深度隔离林皮肤病变图像的分发检测
- 作者：Xuan Li;Yuchen Lu;Christian Desrosiers;Xue Liu
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
100.A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation

机译：一种三维+ 2D CNN方法，包括冲程病变分段的边界损耗
- 作者：Yue Zhang;Jiong Wu;Yilong Liu;Yifan Chen;Ed X. Wu;Xiaoying Tang
- 会议名称：《International Workshop on Machine Learning in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention》 | 2020年
- Stroke lesion segmentation;
- Convolutional neural network;
- Boundary loss;
- 3D+2D;