Accepted Papers

Paper ID Title Authors
4 Hierarchical Spatial Pyramid Network For Cervical Precancerous Segmentation By Reconstructing Deep Segmentation Networks Zhu Meng (Beijing University of Posts and Telecommunications)*; Zhicheng Zhao (bupt); Fei Su (Beijing University of Posts and Telecommunications); Limei Guo (Peking University Health Science Center)
5 3D Fiber Segmentation with Deep Center Regression and Geometric Clustering Camilo G Aguilar (Purdue University)*; Mary Comer (Purdue University); Imad Hanhan (Purdue University); Michael Sangid (Purdue University); Ronald Agyei (Purdue University)
10 RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three Dimensional Fluorescence Microscopy Images Liming Wu (Purdue University)*; Shuo Han (Purdue University); Alain Chen (Purdue University); Paul Salama (Indiana University-Purdue University); Kenneth Dunn (Indiana University); Edward Delp (Purdue University)
12 Learning Melanocytic Proliferation Segmentation in Histopathology Images from Imperfect Annotations Kechun Liu (University of Washington)*; Mojgan Mokhtari (Isfahan University of Medical Sciences); Beibin Li (University of Washington); Shima Nofallah (University of Washington); Caitlin May (Dermatopathology Northwest); Oliver Chang (VA Puget Sound); Stevan Knezevich (Pathology Associates); Joann Elmore (University of California, Los Angeles); Linda Shapiro (University of Washington)
13 A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification EJingwei Zhang (Stony Brook University)*; Ke Ma (Stony Brook University); John S. Van Arnam (Stony Brook University); Rajarsi Gupta (Stony Brook University); Joel Saltz (Stony Brook University); Maria Vakalopoulou (ECP); Dimitris Samaras (Stony Brook University)
16 Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation Dejan Stepec (XLAB d.o.o.)*; Danijel Skocaj (University of Ljubljana)
19 X-net with Different Loss Functions for Cell Image Segmentation Haruki Fujii (Meijo University)*; Hayato Tanaka (Niigata University); Momoko Ikeuchi (Niigata University); Kazuhiro Hotta (Meijo University)
27 Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery Mylene Simon (NIST); Nicholas Schaub (National Center for the Advancement of Translational Science, National Institutes of Health); Sunniel Yu (National Center for the Advancement of Translational Science); Mohamed Ouladi (National Center for the Advancement of Translational Science, National Institutes of Health); Jayapriya Nagarajan ( National Center for the Advancement of Translational Science, National Institutes of Health); Sudharsan Prativadi (National Center for the Advancement of Translational Science, National Institutes of Health); Peter Bajcsy (NIST); Nathan Hotaling (NIH)