Abstract is missing.
- Frequency-Supervised MR-to-CT Image SynthesisZenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek. 3-13 [doi]
- Ultrasound Variational Style Transfer to Generate Images Beyond the Observed DomainAlex Ling Yu Hung, John M. Galeotti. 14-23 [doi]
- 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical ImagesSungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland. 24-34 [doi]
- Bridging the Gap Between Paired and Unpaired Medical Image TranslationPauliina Paavilainen, Saad Ullah Akram, Juho Kannala. 35-44 [doi]
- Conditional Generation of Medical Images via Disentangled Adversarial InferenceMohammad Havaei, Ximeng Mao, Yipping Wang, Qicheng Lao. 45-66 [doi]
- CT-SGAN: Computed Tomography Synthesis GANAhmad Pesaranghader, Yiping Wang, Mohammad Havaei. 67-79 [doi]
- Hierarchical Probabilistic Ultrasound Image Inpainting via Variational InferenceAlex Ling Yu Hung, Zhiqing Sun, Wanwen Chen, John M. Galeotti. 83-92 [doi]
- CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image PatternsRuining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo. 93-102 [doi]
- BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia ClassificationChao Li 0031, Yiran Wei 0002, Xi Chen, Carola-Bibiane Schönlieb. 103-111 [doi]
- Evaluating GANs in Medical ImagingLorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Sara Ramella, Paolo Soda. 112-121 [doi]
- Improved Heatmap-Based Landmark DetectionHuifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li. 125-133 [doi]
- Cross-Domain Landmarks Detection in Mitral RegurgitationJiacheng Wang, Haojie Wang, Ruochen Mu, Liansheng Wang. 134-141 [doi]
- Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive GraphXiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang 0002, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu 0001, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao 0006, Chang-Fu Kuo, Adam P. Harrison, Shun Miao. 145-153 [doi]
- Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven ConsistencyWenjing Jiang, Tong Xia, Zhiqiong Wang, Fucang Jia. 154-162 [doi]
- One-Shot Learning for Landmarks DetectionZihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, Hervé Delingette. 163-172 [doi]
- Compound Figure Separation of Biomedical Images with Side LossTianyuan 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. 173-183 [doi]
- Data Augmentation with Variational Autoencoders and Manifold SamplingClément Chadebec, Stéphanie Allassonnière. 184-192 [doi]
- Medical Image Segmentation with Imperfect 3D Bounding BoxesEkaterina Redekop, Alexey Chernyavskiy. 193-200 [doi]
- Automated Iterative Label Transfer Improves Segmentation of Noisy Cells in Adaptive Optics Retinal ImagesJianfei Liu, Nancy Aguilera, Tao Liu, Johnny Tam. 201-208 [doi]
- How Few Annotations are Needed for Segmentation Using a Multi-planar U-Net?William Michael Laprade, Mathias Perslev, Jon Sporring. 209-216 [doi]
- FS-Net: A New Paradigm of Data Expansion for Medical Image SegmentationXutao Guo, Yanwu Yang, Ting Ma 0001. 217-225 [doi]
- An Efficient Data Strategy for the Detection of Brain Aneurysms from MRA with Deep LearningYoussef Assis, Liang Liao, Fabien Pierre, René Anxionnat, Erwan Kerrien. 226-234 [doi]
- Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data DistributionsQuok Zong Chong, William J. Knottenbelt, Kanwal K. Bhatia. 235-242 [doi]
- Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection AugmentationTalgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev. 243-250 [doi]
- Label Noise in Segmentation Networks: Mitigation Must Deal with BiasEugene Vorontsov, Samuel Kadoury. 251-258 [doi]
- DeepMCAT: Large-Scale Deep Clustering for Medical Image CategorizationTurkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert. 259-267 [doi]
- MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image SegmentationZheng Yuan, Andre Esteva, Ran Xu. 268-275 [doi]