DART/MIL3ID@MICCAI

Keyphrases

Publications

2019

Akihiro Fukuda, Tadashi Miyamoto, Shunsuke Kamba, Kazuki Sumiyama
Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions. DART/MIL3ID@MICCAI (2019)
Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel
Synthesising Images and Labels Between MR Sequence Types with CycleGAN. DART/MIL3ID@MICCAI (2019)
Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang, Hui Zhao
Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-Propagation. DART/MIL3ID@MICCAI (2019)
Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar
Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. DART/MIL3ID@MICCAI (2019)
Karin van Garderen, Marion Smits, Stefan Klein
Multi-modal Segmentation with Missing MR Sequences Using Pre-trained Fusion Networks. DART/MIL3ID@MICCAI (2019)
Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI (2019)
Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images. DART/MIL3ID@MICCAI (2019)
Zahra Mirikharaji, Yiqi Yan, Ghassan Hamarneh
Learning to Segment Skin Lesions from Noisy Annotations. DART/MIL3ID@MICCAI (2019)
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI (2019)
Dhruv Sharma, Zahil Shanis, Chandan K. Reddy, Samuel Gerber, Andinet Enquobahrie
Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images. DART/MIL3ID@MICCAI (2019)
Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten Kortuem, Volker Tresp
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. DART/MIL3ID@MICCAI (2019)
Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Alexandre Cunha
A Weakly Supervised Method for Instance Segmentation of Biological Cells. DART/MIL3ID@MICCAI (2019)
Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie
Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training. DART/MIL3ID@MICCAI (2019)
Santi Puch, Irina Sánchez, Matt Rowe
Few-Shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition. DART/MIL3ID@MICCAI (2019)
Erica M. Rutter, John H. Lagergren, Kevin B. Flores
A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation. DART/MIL3ID@MICCAI (2019)
Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz
Semi-supervised Learning of Fetal Anatomy from Ultrasound. DART/MIL3ID@MICCAI (2019)
Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT. DART/MIL3ID@MICCAI (2019)
Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Transfer Learning from Partial Annotations for Whole Brain Segmentation. DART/MIL3ID@MICCAI (2019)
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
Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI (2019)
Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni
Learning Interpretable Disentangled Representations Using Adversarial VAEs. DART/MIL3ID@MICCAI (2019)
Yunguan Fu, Maria R. Robu, Bongjin Koo, Crispin Schneider, Stijn van Laarhoven, Danail Stoyanov, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu
More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation. DART/MIL3ID@MICCAI (2019)
Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang
A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. DART/MIL3ID@MICCAI (2019)
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
Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images. DART/MIL3ID@MICCAI (2019)
Mina Amiri, Rupert Brooks, Hassan Rivaz
Fine Tuning U-Net for Ultrasound Image Segmentation: Which Layers? DART/MIL3ID@MICCAI (2019)
Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold, Tal Arbel
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases. DART/MIL3ID@MICCAI (2019)
Toan Duc Bui, Li Wang, Jian Chen, Weili Lin, Gang Li, Dinggang Shen
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. DART/MIL3ID@MICCAI (2019)
Ozan Ciga, Jianan Chen, Anne L. Martel
Multi-layer Domain Adaptation for Deep Convolutional Networks. DART/MIL3ID@MICCAI (2019)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI (2019)

volume 11795, 2019

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings DART/MIL3ID@MICCAI 11795 (2019)