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ORCIDDGM4MICCAI/DALI@MICCAI 2021: Strasbourg, France
- Sandy Engelhardt
, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13003, Springer 2021, ISBN 978-3-030-88209-9
Image-to-Image Translation, Synthesis
- Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek:
Frequency-Supervised MR-to-CT Image Synthesis. 3-13 - Alex Ling Yu Hung, John M. Galeotti:
Ultrasound Variational Style Transfer to Generate Images Beyond the Observed Domain. 14-23 - Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland:
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. 24-34 - Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala:
Bridging the Gap Between Paired and Unpaired Medical Image Translation. 35-44 - Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. 45-66 - Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei:
CT-SGAN: Computed Tomography Synthesis GAN. 67-79
Applications and Evaluation
- Alex Ling Yu Hung, Zhiqing Sun, Wanwen Chen, John M. Galeotti:
Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference. 83-92 - Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. 93-102 - Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb:
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. 103-111 - Lorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Sara Ramella, Paolo Soda:
Evaluating GANs in Medical Imaging. 112-121
AdaptOR Challenge
- Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li:
Improved Heatmap-Based Landmark Detection. 125-133 - Jiacheng Wang, Haojie Wang, Ruochen Mu, Liansheng Wang:
Cross-Domain Landmarks Detection in Mitral Regurgitation. 134-141
DALI 2021
- Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. 145-153 - Wenjing Jiang, Tong Xia, Zhiqiong Wang, Fucang Jia:
Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency. 154-162 - Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, Hervé Delingette:
One-Shot Learning for Landmarks Detection. 163-172 - Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. 173-183 - Clément Chadebec, Stéphanie Allassonnière:
Data Augmentation with Variational Autoencoders and Manifold Sampling. 184-192 - Ekaterina Redekop, Alexey Chernyavskiy:
Medical Image Segmentation with Imperfect 3D Bounding Boxes. 193-200 - Jianfei Liu, Nancy Aguilera, Tao Liu, Johnny Tam:
Automated Iterative Label Transfer Improves Segmentation of Noisy Cells in Adaptive Optics Retinal Images. 201-208 - William Michael Laprade, Mathias Perslev, Jon Sporring:
How Few Annotations are Needed for Segmentation Using a Multi-planar U-Net? 209-216 - Xutao Guo, Yanwu Yang, Ting Ma:
FS-Net: A New Paradigm of Data Expansion for Medical Image Segmentation. 217-225 - Youssef Assis, Liang Liao, Fabien Pierre, René Anxionnat, Erwan Kerrien:
An Efficient Data Strategy for the Detection of Brain Aneurysms from MRA with Deep Learning. 226-234 - Quok Zong Chong, William J. Knottenbelt, Kanwal K. Bhatia:
Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions. 235-242 - Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev:
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. 243-250 - Eugene Vorontsov, Samuel Kadoury:
Label Noise in Segmentation Networks: Mitigation Must Deal with Bias. 251-258 - Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert:
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. 259-267 - Zheng Yuan, Andre Esteva, Ran Xu:
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation. 268-275
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