Abstract is missing.
- Cell Counting with Inverse Distance Kernel and Self-supervised LearningYue Guo, David Borland, Carolyn M. McCormick, Jason L. Stein, Guorong Wu 0001, Ashok K. Krishnamurthy. 1-10 [doi]
- Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of CancerSouradeep Chakraborty, Rajarsi Gupta 0001, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras. 11-21 [doi]
- Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell SegmentationYoussef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis. 22-31 [doi]
- Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep LearningColin S. C. Tsang, Tony C. W. Mok, Albert C. S. Chung. 32-41 [doi]
- MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence ImagingShunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu 0024, Yuankai Huo. 42-52 [doi]
- A Pathologist-Informed Workflow for Classification of Prostate Glands in HistopathologyAlessandro Ferrero, Beatrice Knudsen, Deepika Sirohi, Ross T. Whitaker. 53-62 [doi]
- Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge DistillationLitao Yang, Deval Mehta, Dwarikanath Mahapatra, ZongYuan Ge. 63-72 [doi]
- Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained ModelsMaximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein. 73-83 [doi]
- Profiling DNA Damage in 3D Histology SamplesKristofer E. delas Peñas, Ralf Haeusler, Sally Feng, Valentin Magidson, Mariia Dmitrieva, David Wink, Stephen J. Lockett, Robert J. Kinders, Jens Rittscher. 84-93 [doi]
- Few-Shot Segmentation of Microscopy Images Using Gaussian ProcessSurojit Saha, Ouk Choi, Ross T. Whitaker. 94-104 [doi]
- Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance SegmentationHuaqian Wu, Nicolas Souedet, Camille Mabillon, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux. 105-114 [doi]
- Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing DataVaanathi Sundaresan, Julia F. Lehman, Sean P. Fitzgibbon, Saâd Jbabdi, Suzanne N. Haber, Anastasia Yendiki. 115-125 [doi]
- Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced LabelsHaleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen. 126-135 [doi]
- Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology ImagesGozde N. Gunesli, Robert Jewsbury, Shan-e-Ahmed Raza, Nasir M. Rajpoot. 136-144 [doi]
- A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised SegmentationYixiao Zhang 0001, Adam Kortylewski, Qing Liu 0017, Seyoun Park, Benjamin Green 0004, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille. 145-155 [doi]
- A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic ImagesZiheng Yang, Halim Benhabiles, Féryal Windal, Jérôme Follet, Anne-Charlotte Leniere, Dominique Collard. 156-166 [doi]
- Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field ImagesChunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang, Baiying Lei. 167-176 [doi]
- Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology ImagesVeena Kaustaban, Qinle Ba, Ipshita Bhattacharya, Nahil Sobh, Satarupa Mukherjee, Jim Martin, Mohammad Saleh Miri, Christoph Guetter, Amal Chaturvedi. 177-187 [doi]