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MOVI@MICCAI 2022: Singapore
- Yuankai Huo
, Bryan A. Millis
, Yuyin Zhou
, Xiangxue Wang
, Adam P. Harrison
, Ziyue Xu
:
Medical Optical Imaging and Virtual Microscopy Image Analysis - First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13578, Springer 2022, ISBN 978-3-031-16960-1 - Yue Guo, David Borland
, Carolyn M. McCormick, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy:
Cell Counting with Inverse Distance Kernel and Self-supervised Learning. 1-10 - Souradeep Chakraborty, Rajarsi Gupta, 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:
Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. 11-21 - Youssef Dawoud, Katharina Ernst, Gustavo Carneiro
, Vasileios Belagiannis:
Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. 22-31 - Colin S. C. Tsang, Tony C. W. Mok, Albert C. S. Chung:
Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning. 32-41 - Shunxing 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, Yuankai Huo:
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. 42-52 - Alessandro Ferrero, Beatrice Knudsen, Deepika Sirohi, Ross T. Whitaker:
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology. 53-62 - Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge:
Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation. 63-72 - Maximilian Fischer, Peter Neher
, Michael Götz, Shuhan Xiao, Silvia Dias Almeida
, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. 73-83 - Kristofer E. delas Peñas, Ralf Haeusler, Sally Feng, Valentin Magidson, Mariia Dmitrieva, David Wink, Stephen J. Lockett, Robert J. Kinders, Jens Rittscher:
Profiling DNA Damage in 3D Histology Samples. 84-93 - Surojit Saha, Ouk Choi, Ross T. Whitaker:
Few-Shot Segmentation of Microscopy Images Using Gaussian Process. 94-104 - Huaqian Wu, Nicolas Souedet, Camille Mabillon, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux:
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation. 105-114 - Vaanathi Sundaresan, Julia F. Lehman, Sean P. Fitzgibbon, Saâd Jbabdi, Suzanne N. Haber, Anastasia Yendiki:
Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data. 115-125 - Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen:
Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels. 126-135 - Gozde N. Gunesli, Robert Jewsbury, Shan-E-Ahmed Raza, Nasir M. Rajpoot:
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images. 136-144 - Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green
, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille:
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation. 145-155 - Ziheng Yang, Halim Benhabiles, Féryal Windal, Jérôme Follet, Anne-Charlotte Leniere, Dominique Collard:
A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images. 156-166 - Chunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang, Baiying Lei
:
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images. 167-176 - Veena Kaustaban, Qinle Ba, Ipshita Bhattacharya, Nahil Sobh, Satarupa Mukherjee, Jim Martin, Mohammad Saleh Miri, Christoph Guetter, Amal Chaturvedi:
Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images. 177-187
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