Program [New Orleans Time | US Central Time]
Session Start Time Talk Title Speaker(s)
Opening Remarks 9:00AM Welcome to CVMI 2022 & Logistics for Hybrid Format Mei Chen (Microsoft)
Invited Talk 9:20AM Information in Images for Drug Discovery: Image-based Profiling Anne E. Carpenter (Broad Institute of Harvard and MIT)
Invited Talk 10:00AM Deep Learning for Bright Field Image Analysis Kaupo Palo (PerkinElmer)
Accepted Paper 10:40AM Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia Jacqueline Kockwelp (University of Münster); Sebastian Thiele (University of Münster); Pascal Kockwelp (University of Münster); Jannis Bartsch (University Hostpial Münster); Christoph Schliemann (University Hospital Münster); Linus Angenendt (University Hospital Münster); Benjamin Risse (University of Münster)*
Accepted Paper 10:52AM Fourier Image Transformer Tim-Oliver Buchholz (FMI and CSBD/MPI-CBG); Florian Jug (Human Technopole/ MPI-CBG)*
Work-in-Progress 11:05AM Improving Segmentation Quality with Fusion Based Post-processing Anuradha Kar (Institut du Cerveau – Paris Brain Institute)
Invited Talk 11:10AM From Cells to Animals: New Tools for 3D Computer Vision in Life Sciences Mackenzie Mathis (Swiss Federal Institute of Technology, Lausanne)
Lunch & Posters 11:50AM Lunch Break & Poster Session
Invited Talk 13:00 Traditional and Deep Learning Models of Cellular Structure Robert Murphy (Carnegie Mellon University)
Accepted Paper 13:40 Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy Hongqing Han (University of Oxford)*; Mariia Dmitrieva (University of Oxford); Alexander Sauer (University of Oxford); Ka Ho Tam (University of Oxford); Jens Rittscher (Oxford)
Accepted Paper 13:52 Multi Stain Graph Fusion for Multimodal Integration in Pathology Chaitanya Dwivedi (Path AI)*; Shima Nofallah (University of Washington); Maryam Dr. Pouryahya (Astrazeneca); Janani Iyer (PathAI); Kenneth K Leidal (PathAI); chuhan chung (Gilead Sciences, Inc.); Timothy R Watkins (Gilead Sciences); Andrew N Billin (Gilead Sciences, Inc.); Robert P Myers (The Liver Company); John Abel (PathAI); Ali Behrooz (PathAI)
Invited Talk 14:05 Adaptation of Digital Pathology to Tissue Microdissection Michael Tangrea (Loyola University)
Accepted Paper 14:45 An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation Liming Wu (Purdue University)*; Alain Chen (Purdue University); Paul Salama (Indiana University-Purdue University); Kenneth Dunn (Indiana University); Edward Delp (Purdue University)
Work-in-Progress 14:57 Geometric Analysis of Tissue Epithelia for Better Image Visualization and Quantification Mauricio Cerda,*, Carlos Navarro, Steffen Härtel, German Reig, Miguel Concha (Universidad de Chile)
Invited Talk 15:05 Towards AI-driven Cancer Data Integration: Perspectives from Histopathology and Molecular Profiles Mu Zhou (Stanford University)
Panel 15:45 Panel Discussion on Research Priority and Data Sharing Anne E. Carpenter (Broad Institute), Robert Murphy (CMU), Mu Zhou (Stanford), Steve Finkbeiner (UCSF)
Accepted Paper 16:25 Multi-Class Cell Detection Using Modified Self-Attention Tatsuhiko Sugimoto (Kyushu university)*; Hiroaki Ito (Kyoto university hospital); Yuki Teramoto (Kyoto University); Akihiko Yoshizawa (Kyoto University); Ryoma Bise (Kyushu University)
Accepted Paper 16:37 BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix Shengjie Liu (Beijing University of Posts and Telecommunications)*; Chuang Zhu (Beijing University of Posts and Telecommunications ); Feng Xu (Capital Medical University); Xinyu Jia (Beijing University of Posts and Telecommunications); Zhongyue Shi (Capital Medical University); Mulan Jin (Capital Medical University)
Invited Talk 16:50 Transforming Pathology Using Digital Platforms and Deep Learning Shaoting Zhang (SenseTime)
Accepted Paper 17:30 Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network YUNHENG WU (Nagoya University)*; Masahiro Oda (Nagoya University); Yuichiro Hayashi (Nagoya University); Takanori Takebe (Tokyo Medical and Dental University); Shogo Nagata (Keio University); wang cheng (nagoya university); Kensaku Mori (Nagoya University)
Work-in-Progress 17:42 Edge-aware deep learning framework for automatic stomatal segmentation and phenotype measurement for microscopic image Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kanane Sato, Yasuhiro Ishimaru, Nobuyuki Uozumi, Kensaku Mori1
Challenge 17:47 The Cell Tracking and Mitosis Challenge Samreen Anjum (University of Texas at Austin)*; Danna Gurari (University of Texas at Austin)
Closing Remarks 17:55 Announcements & Look Forward to CVMI 2023 Mei Chen (Microsoft)