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International Workshop on Deep Learning in Medical Image Analysis

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1.Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials

机译：预测神经心理学和MRI数据的淀粉样源性，以便在临床试验中含有预致症状受试者的成本含义
- 作者：Manon Ansart;Stephane Epelbaum;Geoffroy Gagliardi;Olivier Colliot;Didier Dormont;Bruno Dubois;Harald Hampel;Stanley Durrleman
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
2.Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections

机译：具有快捷连接的3D卷积编码器网络脊髓MRIS中的灰质分割
- 作者：Adam Porisky;Tom Brosch;Emil Ljungberg;Lisa Y. W. Tang;Youngjin Yoo;Benjamin De Leener;Anthony Traboulsee;Julien Cohen-Adad;Roger Tam
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
3.Automated Detection of Epileptogenic Cortical Malformations Using Multimodal MRI

机译：使用多式联马MRI自动检测癫痫皮质畸形
- 作者：Ravnoor S. Gill;Seok-Jun Hong;Fatemeh Fadaie;Benoit Caldairou;Boris Bernhardt;Neda Bernasconi;Andrea Bernasconi
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Magnetic resonance imaging;
- Epilepsy;
- Lesion detection;
- Multiparametric MRI;
- Presurgical diagnostics;
4.Automated Multimodal Breast CAD Based on Registration of MRI and Two View Mammography

机译：基于MRI的登记和两个视图乳房X线摄影的自动多模乳腺CAD
- 作者：T. Hopp;P. Cotic Smole;N. V. Ruiter
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Computer aided diagnosis;
- Multimodal image registration;
- X-ray mammography;
- MRI;
5.Transitioning Between Convolutional and Fully Connected Layers in Neural Networks

机译：在神经网络中的卷积和完全连接层之间转换
- 作者：Shazia Akbar;Mohammad Peikari;Sherine Salama;Sharon Nofech-Mozes;Anne Martel
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Convolutional neural networks;
- Histology;
- Transition;
- Inception;
- Breast tumor;
6.Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates

机译：通过多个模板将多模态例程成像数据映射到单个参考
- 作者：Johannes Hofmanninger;Bjoern Menze;Marc-Andre Weber;Georg Langs
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
7.Analyzing Microscopic Images of Peripheral Blood Smear Using Deep Learning

机译：深层学习分析外周血涂片的微观图像
- 作者：Dheeraj Mundhra;Bharath Cheluvaraju;Jaiprasad Rampure;Tathagato Rai Dastidar
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
8.Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks

机译：具有完全卷积网络的CT卷中的左中庭分段
- 作者：Honghui Liu;Jianjiang Feng;Zishun Feng;Jiwen Lu;Jie Zhou
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
9.Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks

机译：通过网络明智的卷积网络培训准确的肺部分割
- 作者：Sangheum Hwang;Sunggyun Park
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Lung segmentation;
- Network-wise training;
- Atrous convolution;
10.Context-Based Normalization of Histological Stains Using Deep Convolutional Features

机译：使用深卷积特征的组织学污渍的基于背景基础规范化
- 作者：D. Bug;S. Schneider;A. Grote;E. Oswald;F. Feuerhake;J. Schuler;D. Merhof
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Normalization;
- Machine learning;
- Deep learning;
- Histology;
11.Computationally Efficient Cardiac Views Projection Using 3D Convolutional Neural Networks

机译：使用3D卷积神经网络计算的计算高效的心视图
- 作者：Matthieu Le;Jesse Lieman-Sifry;Felix Lau;Sean Sall;Albert Hsiao;Daniel Golden
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
12.Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks

机译：使用深神经网络量化2型糖尿病对脑灌注的影响
- 作者：Behrouz Saghafi;Prabhat Garg;Benjamin C. Wagner;S. Carrie Smith;Jianzhao Xu;Ananth J. Madhuranthakam;Youngkyoo Jung;Jasmin Divers;Barry I. Freedman;Joseph A. Maldjian;Albert Montillo
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
13.Skin Lesion Segmentation via Deep RefineNet

机译：深层切耕剂皮肤病变分割
- 作者：Xinzi He;Zhen Yu;Tianfu Wang;Baiying Lei
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Dermoscopy image;
- Skin lesion segmentation;
- Deep residual network;
- Conditional random field;
- Deep RefineNet;
14.Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks

机译：快速，简单的简单钙成像分割，具有完全卷积网络
- 作者：Aleksander Klibisz;Derek Rose;Matthew Eicholtz;Jay Blundon;Stanislav Zakharenko
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Calcium imaging;
- Fully convolutional networks;
- Deep learning;
- Microscopy segmentation;
15.Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression

机译：使用基于CNN的回归的非刚性Craniofacial 2D-3D注册
- 作者：Yuru Pei;Yungeng Zhang;Haifang Qin;Gengyu Ma;Yuke Guo;Tianmin Xu;Hongbin Zha
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
16.Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker

机译：来自CT图像的病理肺瓣分割，使用渐进式全面嵌套神经网络和随机助行器
- 作者：Kevin George;Adam P. Harrison;Dakai Jin;Ziyue Xu;Daniel J. Mollura
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Lung lobe segmentation;
- CT;
- Holistically nested neural network;
- Fissure;
- Random walker;
17.3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation

机译：3D FCN功能驱动回归林的胰腺本地化和分段
- 作者：Masahiro Oda;Natsuki Shimizu;Holger R. Roth;Kenichi Karasawa;Takayuki Kitasaka;Kazunari Misawa;Michitaka Fujiwara;Daniel Rueckert;Kensaku Mori
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Segmentation;
- Pancreas;
- Fully convolutional network;
- Regression forest;
18.Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography

机译：深度学习，用于自动检测乳房乳房X线摄像头异常发现
- 作者：Ayelet Akselrod-Ballin;Leonid. Karlinsky;Alon Hazan;Ran Bakalo;Ami Ben Horesh;Yoel Shoshan;Ella Barkan
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
19.A Deep Level Set Method for Image Segmentation

机译：一种图像分割的深度级别方法
- 作者：Min Tang;Sepehr Valipour;Zichen Zhang;Dana Cobzas;Martin Jagersand
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Image segmentation;
- Level set;
- Deep learning;
- FCN;
- Semi-supervised learning;
- Shape prior;
20.Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning

机译：通过多任务深度学习，具有不完全多模式数据的阿尔茨海默病的多阶段诊断
- 作者：Kim-Han Thung;Pew-Thian Yap;Dinggang Shen
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
21.End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network

机译：与卷积神经网络的端到端无监督可变形图像配准
- 作者：Bob D. de Vos;Floris F. Berendsen;Max A. Viergever;Marius Staring;Ivana Isgum
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Deep learning;
- Deformable image registration;
- Convolution neural network;
- Spatial transformer;
- Cardiac cine MRI;
22.Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images

机译：用于分割脑磁共振图像的多尺度网络
- 作者：Jie Wei;Yong Xia
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
23.Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images

机译：染色色调，以改善乳腺组织学图像的丝分裂检测
- 作者：Azam Hamidinekoo;Reyer Zwiggelaar
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
24.Accelerated Magnetic Resonance Imaging by Adversarial Neural Network

机译：通过对抗神经网络加速磁共振成像
- 作者：Ohad Shitrit;Tammy Riklin Raviv
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
25.A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

机译：乳腺组织病理学肿瘤增殖评分预测统一框架
- 作者：Kyunghyun Paeng;Sangheum Hwang;Sunggyun Park;Minsoo Kim
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Tumor proliferation;
- Mitosis detection;
- Convolutional neural networks;
- Breast histopathology;
26.Adversarial Training and Dilated Convolutions for Brain MRI Segmentation

机译：对脑MRI分割的对抗培训和扩张卷曲
- 作者：Pim Moeskops;Mitko Veta;Maxime W. Lafarge;Koen A. J. Eppenhof;Josien P. W. Pluim
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Adversarial networks;
- Deep learning;
- Convolutional neural networks;
- Dilated convolution;
- Medical image segmentation;
- Brain MRI;
27.Fully Convolutional Regression Network for Accurate Detection of Measurement Points

机译：完全卷积回归网络，用于精确检测测量点
- 作者：Michal Sofka;Fausto Milletari;Jimmy Jia;Alex Rothberg
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
28.CNNs Enable Accurate and Fast Segmentation of Drusen in Optical Coherence Tomography

机译：CNNS在光学相干断层扫描中启用博客的准确和快速分割
- 作者：Shekoufeh Gorgi Zadeh;Maximilian W. M. Wintergerst;Vitalis Wiens;Sarah Thiele;Frank G. Holz;Robert P. Finger;Thomas Schultz
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
29.ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features

机译：SSEMNet：串口电子显微镜图像使用空间变压器网络具有学习功能
- 作者：Inwan Yoo;David G. C. Hildebrand;Willie F. Tobin;Wei-Chung Allen Lee;Won-Ki Jeong
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
30.A Deep Residual Inception Network for HEp-2 Cell Classification

机译：用于HEP-2细胞分类的深度剩余初始网络
- 作者：Yuexiang Li;Linlin Shen
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- HEp-2 cells;
- Image classification;
- Deep Learning Network;
31.A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification

机译：乳房X线图分类的多尺度CNN和课程学习策略
- 作者：William Lotter;Greg Sorensen;David Cox
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
32.Fast Predictive Simple Geodesic Regression

机译：快速预测简单的测距回归
- 作者：Zhipeng Ding;Greg Fleishman;Xiao Yang;Paul Thompson;Roland Kwitt;Marc Niethammer
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
33.Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images

机译：领域 - 对抗性神经网络，用于解决组织病理学图像的外观变异性
- 作者：Maxime W. Lafarge;Josien P. W. Pluim;Koen A. J. Eppenhof;Pim Moeskops;Mitko Veta
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Domain-adversarial training;
- Histopathology image analysis;
34.Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images

机译：区域意识到X射线图像中颈椎的深层定位框架
- 作者：S. M. Masudur Rahman Al Arif;Karen Knapp;Greg Slabaugh
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Cervical spine;
- X-ray;
- Localization;
- FCN;
- Region-aware;
35.Simultaneous Multiple Surface Segmentation Using Deep Learning

机译：使用深度学习同时多表面分割
- 作者：Abhay Shah;Michael D. Abramoff;Xiaodong Wu
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
36.Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations

机译：广义骰子作为高度不平衡分割的深度学习损失函数重叠
- 作者：Carole H. Sudre;Wenqi Li;Tom Vercauteren;Sebastien Ourselin;M. Jorge Cardoso
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
37.Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video

机译：学习超声波视频中胎心分析的时空聚集
- 作者：Arijit Patra;Weilin Huang;J. Alison Noble
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
38.EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function

机译：EMR-光神经疾病的放射性表型及其与视觉功能的关系
- 作者：Shikha Chaganti;Jamie R. Robinson;Camilo Bermudez;Thomas Lasko;Louise A. Mawn;Bennett A. Landman
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- CT imaging;
- EMR;
- Regression;
- Optic nerve;
- MCA;
- PCA;
39.Self-supervised Learning for Spinal MRIs

机译：自我监督的脊柱MRIS学习
- 作者：Amir Jamaludin;Timor Kadir;Andrew Zisserman
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
40.Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures

机译：具有两种协作深层架构的CT图像中多胸器官的联合分割
- 作者：Roger Trullo;Caroline Petitjean;Dong Nie;Dinggang Shen;Su Ruan
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Anatomical constraints;
- CT segmentation;
- Fully Convolutional Networks (FCN);
- CRF;
- CRFasRNN;
- Auto-context model;
41.3D Randomized Connection Network with Graph-Based Inference

机译：3D随机连接网络具有基于图形的推断
- 作者：Siqi Bao;Pei Wang;Albert C. S. Chung
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
42.AGNet: Attention-Guided Network for Surgical Tool Presence Detection

机译：AGNET：外科手术工具的注意力引导网络
- 作者：Xiaowei Hu;Lequan Yu;Hao Chen;Jing Qin;Pheng-Ann Heng
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Surgical tool recognition;
- Attention-guided network;
- Laparoscopic videos;
- Cholecystectomy;
- Deep learning;
43.Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms

机译：超声心动图谱心循环阶段表征的深度残余复发性神经网络
- 作者：Fatemeh Taheri Dezaki;Neeraj Dhungel;Amir H. Abdi;Christina Luong;Teresa Tsang;John Jue;Ken Gin;Dale Hawley;Robert Rohling;Purang Abolmaesumi
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2017年
- Deep residual neural networks;
- Recurrent neural networks;
- Long short term memory;
- Echocardiograms;
- Frame identification;
44.Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning

机译：深度学习的超声心动图中自动心肌应变成像
- 作者：Andreas Ostvik;Erik Smistad;Torvald Espeland;Erik Andreas Rye Berg;Lasse Lovstakken
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Deep learning;
- Echocardiography;
- Functional imaging;
45.Deep Semi-supervised Segmentation with Weight-Averaged Consistency Targets

机译：具有重量平均一致目标的深度半监督分割
- 作者：Christian S. Perone;Julien Cohen-Adad
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
46.ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans

机译：疤痕：被链式的生成对抗网络来模拟心血管MR扫描的病理组织
- 作者：Felix Lau;Tom Hendriks;Jesse Lieman-Sifry;Sean Sall;Dan Golden
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
47.Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification

机译：Monte-Carlo采样应用于组织学图像分类的多实例学习
- 作者：Marc Combalia;Veronica Vilaplana
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Histological image classification;
- Deep learning;
- Multiple instance learning;
- Patch sampling;
- Monte-Carlo methods;
48.A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI

机译：多序MRI中的多级多发性硬化病变改变检测
- 作者：Myra Cheng;Alfiia Galimzianova;Ziga Lesjak;Ziga Spiclin;Christopher B. Lock;Daniel L. Rubin
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Multiple sclerosis;
- Change detection;
- Multi-scale image descriptors;
49.Integrating Deformable Modeling with 3D Deep Neural Network Segmentation

机译：与3D深度神经网络分割集成可变形建模
- 作者：Hui Tang;Mehdi Moradi;Ken C. L. Wong;Hongzhi Wang;Ahmed El Harouni;Tanveer Syeda-Mahmood
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
50.Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease

机译：多项任务稀疏低级学习，用于帕金森病的多分类
- 作者：Haijun Lei;Yujia Zhao;Baiying Lei
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Multi-task learning;
- Low-rank;
- Sparse learning;
- Parkinson's disease;
51.Optic Disc Segmentation in Retinal Fundus Images Using Fully Convolutional Network and Removal of False-Positives Based on Shape Features

机译：视网膜眼底图像中的光盘分割，使用全卷积网络和基于形状特征的伪阳性去除
- 作者：Sandip Sadhukhan;Goutam Kumar Ghorai;Souvik Maiti;Vikrant Anilrao Karale;Gautam Sarkar;Ashis Kumar Dhara
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Retinal fundus image;
- Optic disc detection and segmentation;
- Fully convolutional network;
52.Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM

机译：随着时间调制的LSTM纵向检测放射异常的纵向检测
- 作者：Ruggiero Santeramo;Samuel Withey;Giovanni Montana
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Deep learning;
- CNN;
- LSTM;
- Time-modulated LSTM;
- Medical imaging;
- X-rays;
53.Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection

机译：无监督的特征学习与堆叠卷积的AutoEncoders，暹罗网络和Wasserstein AutoEncoders的异常值检测：应用于癫痫检测
- 作者：Zara Alaverdyan;Jiazheng Chai;Carole Lartizien
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Wasserstein autoencoders;
- Siamese networks;
- Unsupervised learning;
- Epilepsy detection;
- Anomaly detection;
54.Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN

机译：使用结构约束的CyclegaN的Unapaired Brain Mr-to-CT合成
- 作者：Heran Yang;Jian Sun;Aaron Carass;Can Zhao;Junghoon Lee;Zongben Xu;Jerry Prince
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- MR-to-CT synthesis;
- CycleGAN;
- Deep learning;
- MIND;
55.Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images

机译：学习从3T MR Images解码7T-Like MR图像重建
- 作者：Aditya Sharma;Prabhjot Kaur;Aditya Nigam;Arnav Bhavsar
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Autoencoder;
- Multiple decoders;
- Low-field MRI;
- Reconstruction;
- High-field MRI;
56.UNet++: A Nested U-Net Architecture for Medical Image Segmentation

机译：UNET ++：用于医学图像分割的嵌套U-NET架构
- 作者：Zongwei Zhou;Mahfuzur Rahman Siddiquee;Ninia Tajbakhsh;Jianming Liang
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
57.TreeNet: Multi-loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees

机译：TreeNet：多损深学习网络预测分支方向提取3D解剖树
- 作者：Mengliu Zhao;Ghassan Hamarneh
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
58.Contextual Additive Networks to Efficiently Boost 3D Image Segmentations

机译：上下文添加网络有效地提升3D图像分割
- 作者：Zhenlin Xu;Zhengyang Shen;Marc Niethammer
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
59.Handling Missing Annotations for Semantic Segmentation with Deep ConvNets

机译：处理缺少的解释与深扫描网的语义细分
- 作者：Olivier Petit;Nicolas Thome;Arnaud Charnoz;Alexandre Hostettler;Luc Soler
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Medical images;
- Deep learning;
- Convolutional Neural Networks;
- Incomplete ground truth annotation;
- Noisy labels;
- Missing labels;
60.A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data

机译：统一的框架集成了反复完全卷积网络和光学流量，用于超声心动图数据中左心室的分割
- 作者：Mohammad H. Jafari;Hany Girgis;Zhibin Liao;Delaram Behnami;Amir Abdi;Hooman Vaseli;Christina Luong;Robert Rohling;Ken Gin;Terasa Tsang;Purang Abolmaesumi
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
61.Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography

机译：超声心动图中收缩心衰竭高风险的患者的自动检测
- 作者：Delaram Behnami;Christina Luong;Hooman Vaseli;Amir Abdi;Hany Girgis;Dale Hawley;Robert Rohling;Ken Gin;Purang Abolmaesumi;Teresa Tsang
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
62.PIMMS: Permutation Invariant Multi-modal Segmentation

机译：PIMMS：置换不变多模态分段
- 作者：Thomas Varsavsky;Zach Eaton-Rosen;Carole H. Sudre;Parashkev Nachev;M. Jorge Cardoso
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
63.UOLO - Automatic Object Detection and Segmentation in Biomedical Images

机译：UOLO - 生物医学图像中的自动对象检测和分割
- 作者：Teresa Araujo;Guilherme Aresta;Adrian Galdran;Pedro Costa;Ana Maria Mendonca;Aurelio Campilho
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Detection;
- Segmentation;
- Biomedical images;
- Eye fundus images;
- Convolutional neural networks;
64.Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network

机译：使用逐步密度V网络自动分割肺裂片
- 作者：Abdullah-Al-Zubaer Imran;Ali Hatamizadeh;Shilpa P. Ananth;Xiaowei Ding;Demetri Terzopoulos;Nima Tajbakhsh
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Lung lobe segmentation;
- CT;
- Progressive dense V-Net;
- Fissure;
- 3D CNN;
65.MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis

机译：MTMR网络：多任务深度学习，肺结核分析保证金排名损失
- 作者：Lihao Liu;Qi Dou;Hao Chen;Iyiola E. Olatunji;Jing Qin;Pheng-Ann Heng
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
66.Learning to Segment Medical Images with Scribble-Supervision Alone

机译：单独使用涂鸦监督进行分段医学图像
- 作者：Yigit B. Can;Krishna Chaitanya;Basil Mustafa;Lisa M. Koch;Ender Konukoglu;Christian F. Baumgartner
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
67.Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps

机译：使用全球近似块与自组织地图的组织分割快速培训数据生成
- 作者：Lee B. Reid;Alex M. Pagnozzi
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Block-matching;
- Self-organizing map;
- Segmentation;
- Ground-truth;
68.3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation

机译：3D深度仿射 - 不变的形状学习脑MR图像分割
- 作者：Zhou He;Siqi Bao;Albert Chung
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
69.Learning Optimal Deep Projection of ~(18)F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes

机译：学习最佳深度投影〜（18）F-FDG宠物成像，用于帕金森综合征早期鉴别诊断
- 作者：Shubham Kumar;Abhijit Guha Roy;Ping Wu;Sailesh Conjeti;R. S. Anand;Jian Wang;Igor Yakushev;Stefan Forster;Markus Schwaiger;Sung-Cheng Huang;Axel Rominger;Chuantao Zuo;Kuangyu Shi
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
70.Semi-automated Extraction of Crohns Disease MR Imaging Markers Using a 3D Residual CNN with Distance Prior

机译：半自动提取Crohns疾病MR成像标记使用3D残留的CNN具有前距离的3D残余CNN
- 作者：Yechiel Lamash;Sila Kurugol;Simon K. Warfield
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
71.Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease

机译：从有限训练数据的迭代细分：对先天性心脏病的应用
- 作者：Danielle F. Pace;Adrian V. Dalca;Tom Brosch;Tal Geva;Andrew J. Powell;Jurgen Weese;Mehdi H. Moghari;Polina Golland
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
72.Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks

机译：纵向CT扫描的头部和颈器官的分割结合可变形注册和卷积神经网络
- 作者：Liesbeth Vandewinckele;David Robben;Wouter Crijns;Frederik Maes
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
73.Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration

机译：稳健扩散注册的无监督概率变形建模
- 作者：Julian Krebs;Tommaso Mansi;Boris Mailhe;Nicholas Ayache;Herve Delingette
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
74.Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images

机译：加强自动变焦网：全幻灯片中准确和快速的乳腺癌细分
- 作者：Nanqing Dong;Michael Kampffmeyer;Xiaodan Liang;Zeya Wang;Wei Dai;Eric Xing
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Breast cancer;
- Deep reinforcement learning;
- Medical image segmentation;
- Whole-slide images;
75.Computed Tomography Image Enhancement Using 3D Convolutional Neural Network

机译：使用3D卷积神经网络计算的断层摄影图像增强
- 作者：Meng Li;Shiwen Shen;Wen Gao;William Hsu;Jason Cong
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Super resolution;
- Computed tomography;
- Medical imaging;
- Convolutional neural network;
- Image enhancement;
- Deep learning;
76.Weakly Supervised Localisation for Fetal Ultrasound Images

机译：胎儿超声图像弱监督本地化
- 作者：Nicolas Toussaint;Bishesh Khanal;Matthew Sinclair;Alberto Gomez;Emily Skelton;Jacqueline Matthew;Julia A. Schnabel
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Deep learning;
- Weakly supervised learning;
- Object localisation;
- Ultrasound;
- Fetal imaging;
- Image-guided navigation;
77.Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks

机译：使用深卷积神经网络进行小儿骨龄评估
- 作者：Vladimir I. Iglovikov;Alexander Rakhlin;Alexandr A. Kalinin;Alexey A. Shvets
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Medical imaging;
- Computer-aided diagnosis (CAD);
- Computer vision;
- Image recognition;
- Deep learning;
78.Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images

机译：3D医学图像中对象本地化的非线性自适应学习优化
- 作者：Mayalen Etcheverry;Bogdan Georgescu;Benjamin Odry;Thomas J. Re;Shivam Kaushik;Bernhard Geiger;Nadar Mariappan;Sasa Grbic;Dorin Comaniciu
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Deep reinforcement learning;
- Nonlinear parameter optimization;
- 3D medical images;
- Object localization;
79.3D Convolutional Neural Networks for Classification of Functional Connectomes

机译：三维卷积神经网络，用于分类功能Connectomes
- 作者：Meenakshi Khosla;Keith Jamison;Amy Kuceyeski;Mert R. Sabuncu
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Functional connectivity;
- FMRI;
- Convolutional neural networks;
- Autism;
- ABIDE;
80.Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification

机译：具有两个原始CT图像通道的多尺度残余网络及其用于肺气肿分类的差动励磁组件
- 作者：Liying Peng;Lanfen Lin;Hongjie Hu;Huali Li;Qingqing Chen;Dan Wang;Xian-Hua Han;Yutaro Iwamoto;Yen-Wei Chen
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Emphysema classification;
- Multi-scale;
- Differential excitation component;
81.Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning

机译：深度粒子跟踪器：使用深度学习的荧光显微镜图像中的颗粒自动跟踪粒子
- 作者：Roman Spilger;Thomas Wollmann;Yu Qiang;Andrea Imle;Ji Young Lee;Barbara Muller;Oliver T. Fackler;Ralf Bartenschlager;Karl Rohr
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
82.Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation

机译：与Fisher信息进行修补程序语义细分的Fisher信息深度学习
- 作者：Jamshid Sourati;Ali Gholipour;Jennifer G. Dy;Sila Kurugol;Simon K. Warfield
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
83.Focal Dice Loss and Image Dilation for Brain Tumor Segmentation

机译：脑肿瘤分割的焦点丢失和图像扩张
- 作者：Pei Wang;Albert C. S. Chung
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
84.Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy

机译：通过优化最大熵的内容信息，积极学习分割
- 作者：Firat Ozdemir;Zixuan Peng;Christine Tanner;Philipp Fuernstahl;Orcun Goksel
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
85.Unpaired Deep Cross-Modality Synthesis with Fast Training

机译：不配对的深层跨型号合成快速训练
- 作者：Lei Xiang;Yang Li;Weili Lin;Qian Wang;Dinggang Shen
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
86.SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays

机译：扫描：胸部X射线器官细分的结构校正对抗网络
- 作者：Wei Dai;Nanqing Dong;Zeya Wang;Xiaodan Liang;Hao Zhang;Eric P. Xing
- 会议名称：《International Workshop on Deep Learning in Medical Image Analysis》 | 2018年
- Chest X-ray;
- Medical image segmentation;
- Adversarial learning;
- Deep neural networks;