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MICCAI Workshop on Domain Adaptation and Representation Transfer

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1.Fine Tuning U-Net for Ultrasound Image Segmentation: Which Layers?

机译：微调U-Net用于超声图像分割：哪个层？
- 作者：Mina Amiri;Rupert Brooks;Hassan Rivaz
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Ultrasound imaging;
- Segmentation;
- Transfer learning;
- U-Net;
2.A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection

机译：一种基于残差学习和密集连接的肺结节检测方法
- 作者：Feng Zhang;Yutong Xie;Yong Xia;Yanning Zhang
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Pulmonary nodule detection;
- Residual learning;
- Dense connection;
- Chest CT;
3.Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images

机译：利用有限标记图像的多模式脑肿瘤分割的主动学习技术
- 作者：Dhruv Sharma;Zahil Shanis;Chandan K. Reddy;Samuel Gerber;Andinet Enquobahrie
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Deep learning;
- Active learning;
- Segmentation;
4.Transfer Learning from Partial Annotations for Whole Brain Segmentation

机译：从整个脑细分的部分注释转移学习
- 作者：Chengliang Dai;Yuanhari Mo;Elsa Angelini;Yike Guo;Wenjia Bai
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
5.Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans

机译：CT扫描的前列腺细分跨型号知识转移
- 作者：Yucheng Liu;Naji Khosravan;Yulin Liu;Joseph Stember;Jonathan Shoag;Ulas Bagci;Sachin Jambawalikar
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Domain adaptation;
- Deep learning;
- CT synthesis;
- Prostate segmentation;
- 2.5D;
- Generative Adversarial Networks;
6.Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images

机译：广义分割的协调和有针对性的特征辍学：在多站点创伤性脑损伤图像中的应用
- 作者：Yilin Liu;Gregory R. Kirk;Brendon M. Nacewicz;Martin A. Styner;Mingren Shen;Dong Nie;Nagesh Adluru;Benjamin Yeske;Peter A. Ferrazzano;Andrew L. Alexander
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
7.Self-supervised Learning of Inverse Problem Solvers in Medical Imaging

机译：医学成像中反问题求解器的自我监督学习
- 作者：Ortal Senouf;Sanketh Vedula;Tomer Weiss;Alex Bronstein;Oleg Michailovich;Michael Zibulevsky
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Deep learning;
- Inverse problems;
- Self-supervised learning;
- Accelerated MRI;
8.MIL3ID 2019 Preface

机译：MIL3ID 2019前言
- 作者：Hien V. Nguyen;Vishal Patel;Ngan Le;Badri Roysam;Steve Jiang;Kevin Zhou;Khoa Luu
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
9.CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

机译：肝脏患者的CT数据策疗：动态对比增强CT中的相位识别
- 作者：Bo Zhou;Adam P. Harrison;Jiawen Yao;Chi-Tung Cheng;Jing Xiao;Chien-Hung Liao;Le Lu
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Data curation;
- PACS;
- Dynamic CT;
- Phase recognition;
10.Synthesising Images and Labels Between MR Sequence Types with CycleGAN

机译：用Crycangan综合图像和MR序列类型之间的标签
- 作者：Eric Kerfoot;Esther Puyol-Anton;Bram Ruijsink;Rina Ariga;Ernesto Zacur;Pablo Lamata;Julia Schnabel
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Cardiac MR;
- Cardiac quantification;
- Convolutional neural networks;
- Generative adversarial networks;
- Image synthesis;
11.Preface

机译：前言
- 作者：Fausto Milletari;Nicola Rieke;Shadi Albarqouni;Ziyue Xu;Konstantinos Kamnitsas;M. Jorge Cardoso
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
12.Learning Interpretable Disentangled Representations Using Adversarial VAEs

机译：使用对抗性VAES学习可解释的解除不安的陈述
- 作者：Mhd Hasan Sarhan;Abouzar Eslami;Nassir Navab;Shadi Albarqouni
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Deep learning;
- Disentangled representation;
- Interpretability;
13.Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation

机译：噪音作为域名转移：未配对图像翻译的去噪
- 作者：Ilja Manakov;Markus Rohm;Christoph Kern;Benedikt Schworm;Karsten Kortuem;Volker Tresp
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Optical coherence tomography;
- Generative Adversarial Networks;
- Image denoising;
14.A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation

机译：用于边界优化的卷积神经网络方法使生物医学图像分割很少学习
- 作者：Erica M. Rutter;John H. Lagergren;Kevin B. Flores
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Biomedical image segmentation;
- Few shot learning;
- Convolutional neural network;
15.A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images

机译：叶片病变分类级联关注网络在弱标记的多相CT图像中
- 作者：Xiao Chen;Lanfen Lin;Hongjie Hu;Qiaowei Zhang;Yutaro Iwamoto;Xianhua Han;Yen-Wei Chen;Ruofeng Tong;Jian Wu
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Liver lesion classification;
- Channel attention;
- Spatial attention;
- Weakly-labeled;
- Multi-phase CT images;
- CLSTM;
16.Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training

机译：岩石正式域适应使用自我合并和对抗性培训
- 作者：Zahil Shanis;Samuel Gerber;Mingchen Gao;Andinet Enquobahrie
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
17.Multi-modal Segmentation with Missing MR Sequences Using Pre-trained Fusion Networks

机译：使用预先培训的融合网络丢失MR序列的多模态分割
- 作者：Karin van Garderen;Marion Smits;Stefan Klein
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Convolutional neural network;
- Glioma segmentation;
- Missing data;
18.Multi-layer Domain Adaptation for Deep Convolutional Networks

机译：深度卷积网络的多层域改编
- 作者：Ozan Ciga;Jianan Chen;Anne Martel
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
19.Temporal Consistency Objectives Regularize the Learning of Disentangled Representations

机译：时间一致性目标正规化解除不诚格表示的学习
- 作者：Gabriele Valvano;Agisilaos Chartsias;Andrea Leo;Sotirios A. Tsaftaris
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Disentangled representations;
- Semi-supervised learning;
- Cardiac segmentation;
20.Improving Pathological Structure Segmentation via Transfer Learning Across Diseases

机译：通过患有疾病的转移学习改善病理结构细分
- 作者：Barleen Kaur;Paul Lemaitre;Raghav Mehta;Nazanin Mohammadi Sepahvand;Doina Precup;Douglas Arnold;Tal Arbel
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Transfer learning;
- Brain tumor segmentation;
- MRI;
21.A Weakly Supervised Method for Instance Segmentation of Biological Cells

机译：一种弱监督生物细胞分段的弱化方法
- 作者：Fidel A. Guerrero-Pena;Pedro D. Marrero Fernandez;Tsang Ing Ren;Alexandre Cunha
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Instance segmentation;
- Weakly supervised;
- Cell segmentation;
- Microscopy cells;
- Loss modeling;
22.Few-Shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition

机译：少量学习用深三重网络进行脑成像模型识别
- 作者：Santi Puch;Irina Sanchez;Matt Rowe
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Brain imaging;
- Modality recognition;
- Few-shot learning;
- Triplet loss;
- Uncertainty;
- Noise;
23.Semi-supervised Learning of Fetal Anatomy from Ultrasound

机译：超声波胎儿解剖学的半监督学习
- 作者：Jeremy Tan;Anselm Au;Qingjie Meng;Bernhard Kainz
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Semi-supervised learning;
- Fetal ultrasound;
24.Towards Practical Unsupervised Anomaly Detection on Retinal Images

机译：对视网膜图像的实际无调节异常检测
- 作者：Khalil Ouardini;Huijuan Yang;Balagopal Unnikrishnan;Manon Romain;Camille Garcin;Houssam Zenati;J. Peter Campbell;Michael F. Chiang;Jayashree Kalpathy-Cramer;Vijay Chandrasekhar;Pavitra Krishnaswamy;Chuan-Sheng Foo
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Unsupervised deep learning;
- Transfer learning;
- Anomaly detection;
- Retinal images;
25.More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation

机译：更解密的数据或标签更多数据？半监督腹腔镜图像分割研究
- 作者：Yunguan Fu;Maria R. Robu;Bongjin Koo;Crispin Schneider;Stijn van Laarhoven;Danail Stoyanov;Brian Davidson;Matthew J. Clarkson;Yipeng Hu
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Semi-supervised;
- Laparoscopic video;
- Image segmentation;
26.Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-Propagation

机译：迭代切片繁殖的椎体弱监督分割
- 作者：Shiqi Peng;Bolin Lai;Guangyu Yao;Xiaoyun Zhang;Ya Zhang;Yan-Feng Wang;Hui Zhao
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Vertebral body segmentation;
- Weak supervision;
27.Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning

机译：通过配对的一致性和对抗学习，脑MRI中的多域改编
- 作者：Mauricio Orbes-Arteaga;Thomas Varsavsky;Carole H. Sudre;Zach Eaton-Rosen;Lewis J. Haddow;Lauge S?rensen;Mads Nielsen;Akshay Pai;Sebastien Ourselm;Marc Modat;Parashkev Nachev;M. Jorge Cardoso
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Domain adaptation;
- Adversarial learning;
- Brain MR;
28.Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance

机译：使用3D致密粘连的新生儿脑细分的多任务学习与测地距离引导密集的关注
- 作者：Toan Due Bui;Li Wang;Jian Chen;Weili Lin;Gang Li;Dinggang Shen
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
- Neonatal brain segmentation;
- Multi-task learning;
- Attention;
- Geodesic distance;
29.Learning to Segment Skin Lesions from Noisy Annotations

机译：学习嘈杂的注释分段皮肤病
- 作者：Zahra Mirikharaji;Yiqi Yan;Ghassan Hamarneh
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年
30.Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions

机译：生成虚拟色谱镜片图像并提高内窥镜病变的可检测性和分类性能
- 作者：Akihiro Fukuda;Tadashi Miyamoto;Shunsuke Kamba;Kazuki Sumiyama
- 会议名称：《MICCAI Workshop on Domain Adaptation and Representation Transfer》 | 2019年