- Linda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer:
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients. MIDL 2023: 235-259 - Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner:
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. MIDL 2023: 937-956 - Janmesh Ukey, Shireen Y. Elhabian:
Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images. MIDL 2023: 1910-1922 - Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel:
On-the-Fly Test-time Adaptation for Medical Image Segmentation. MIDL 2023: 586-598 - Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert:
GeoLS: Geodesic Label Smoothing for Image Segmentation. MIDL 2023: 468-478 - Vibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho, Raissa Souza, Nils D. Forkert:
Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference. MIDL 2023: 1304-1317 - Tin Vlasic, Tomislav Matulic, Damir Sersic:
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling. MIDL 2023: 1875-1894 - Iris N. Vos, Ishaan Bhat, Birgitta K. Velthuis, Ynte M. Ruigrok, Hugo J. Kuijf:
Calibration techniques for node classification using graph neural networks on medical image data. MIDL 2023: 1211-1224 - Ziqi Wen, Chuyang Ye:
A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images. MIDL 2023: 643-652 - Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime. MIDL 2023: 53-73 - Boyeong Woo, Marlon Bran Lorenzana, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative. MIDL 2023: 905-917 - Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu:
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model. MIDL 2023: 1623-1639 - Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab:
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. MIDL 2023: 382-401 - Preface. MIDL 2023: i-xviii
- Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Pingkun Yan:
Federated Cross Learning for Medical Image Segmentation. MIDL 2023: 1441-1452 - Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye, Heather Ting Ma:
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision. MIDL 2023: 1006-1018 - Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. MIDL 2023: 1655-1665 - Jie Yang, Ye Zhu, Chaoqun Wang, Zhen Li, Ruimao Zhang:
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency. MIDL 2023: 1602-1622 - Hao Zhai, Jing Liu, Bei Hong, Jiazheng Liu, Qiwei Xie, Hua Han:
Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics. MIDL 2023: 1691-1712 - Molin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson:
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space. MIDL 2023: 1713-1725 - Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh:
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. MIDL 2023: 1751-1764 - Ye Zhu, Jie Yang, Siqi Liu, Ruimao Zhang:
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation. MIDL 2023: 1581-1601 - Igor Zingman, Sergio Frayle, Ivan Tankoyeu, Sergey Sukhanov, Fabian Heinemann:
A comparative evaluation of image-to-image translation methods for stain transfer in histopathology. MIDL 2023: 1509-1525 - Ipek Oguz, Jack H. Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heimann, Despina Kontos, Bennett A. Landman, Benoit M. Dawant:
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA. Proceedings of Machine Learning Research 227, PMLR 2023 [contents]