Program

Keynote Presentation 2

Oral Session

• Cell counting with inverse distance kernel and self-supervised learning [Poster][Video]
  Yue Guo, David Borland, Carolyn McCormick, Jason Stein, Guorong Wu, and Ashok Krishnamurthy

• Joint denoising and super-resolution for fluorescence microscopy using weakly-supervised deep learning [Poster][Video]
  Colin S. C. Tsang, Tony C. W. Mok, and Albert C. S. Chung

• Few-shot segmentation of microscopy images using Gaussian process [Poster][Video]
  Surojit Saha, Ouk Choi, and Ross Whitaker

• Swin faster R-CNN for senescence detection of mesenchymal stem cells in bright-field images [Poster][Video]
  Chunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang and Baiying Lei

• Characterizing continual learning scenarios for tumor classification in histopathology images [Poster][Video]
  Veena Kaustaban, Qinle Ba, Ipshita Bhattacharya, Nahil Sobh, Satarupa Mukherjee, Jim Martin, Mohammad Saleh Miri, Christoph Guetter, and Amal Chaturvedi

Poster Session

• Predicting the visual attention of pathologists evaluating whole slide images of cancer [Poster][Video]
  Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory Zelinsky, Joel Saltz, and Dimitris Samaras

• Edge-based self-supervision for semi-supervised few-shot microscopy image cell segmentation [Poster][Video]
  Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, and Vasileios Belagiannis

• MxIF Q-score: biology-informed quality assurance for multiplexed immunofluorescence imaging [Poster][Video]
  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, and Yuankai Huo

• A pathologist-informed workflow for classification of prostate glands in histopathology [Poster][Video]
  Alessandro Ferrero, Beatrice Knudsen, Deepika Sirohi, and Ross Whitaker

• Leukocyte classification using multimodal architecture enhanced by knowledge distillation [Poster][Video]
  Litao Yang, Deval Mehta, Dwarikanath Mahapatra, and Zongyuan Ge

• Deep learning on lossily compressed pathology images: adverse effects for ImageNet pre-trained models [Poster][Video]
  Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, and Klaus Maier-Hein

• Profiling DNA damage in 3D histology samples [Poster][Video]
  Kristofer E. delas Peñas, Ralf Haeusler, Sally Feng, Valentin, Magidson, Mariia Dmitrieva, David Wink, Stephen Lockett, Robert, Kinders, and Jens Rittscher

• Adversarial stain transfer to study the effect of color variation on cell Instance segmentation [Poster][Video]
  Huaqian Wu, Nicolas Souedet, Camille Mabillon, Caroline Jan, Cédric Clouchoux, and Thierry Delzescaux

• Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data [Poster][Video]
  Vaanathi Sundaresan, Julia F. Lehman, Sean Fitzgibbon, Saad Jbabdi, Suzanne N. Haber, and Anastasia Yendiki

• Sequential multi-task learning for histopathology-based prediction of genetic mutations with extremely imbalanced labels [Poster][Video]
  Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, and Antong Chen

• Morph-Net: end-to-end prediction of nuclear morphological features from histology images [Poster][Video]
  Gozde N. Gunesli, Robert Jewsbury, Shan E Ahmed Raza, and Nasir M. Rajpoot

• A light-weight interpretable model for nuclei detection and weakly-supervised segmentation [Poster][Video]
  Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, and Alan Yuille

• A coarse-to-fine segmentation methodology based on deep networks for automated analysis of cryptosporidium parasite from fluorescence microscopic images [Poster][Video]
  Ziheng Yang, Halim Benhabiles, Feryal Windal, Jérôme Follet, Anne-Charlotte Leniere, and Dominique Collard