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)