CVPR 2024 Open Access Repository

9th Workshop on Computer Vision for Microscopy Image Analysis

Discovering Interpretable Models of Scientific Image Data with Deep Learning: Christopher J. Soelistyo,

Alan R. Lowe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Soelistyo_2024_CVPR, author = {Soelistyo, Christopher J. and Lowe, Alan R.}, title = {Discovering Interpretable Models of Scientific Image Data with Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6884-6893} }
Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images: Heming Yao,

Phil Hanslovsky,

Jan-Christian Huetter,

Burkhard Hoeckendorf,

David Richmond; [pdf]
[bibtex]
@InProceedings{Yao_2024_CVPR, author = {Yao, Heming and Hanslovsky, Phil and Huetter, Jan-Christian and Hoeckendorf, Burkhard and Richmond, David}, title = {Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6978-6987} }
Unsupervised Microscopy Video Denoising: Mary Aiyetigbo,

Alexander Korte,

Ethan Anderson,

Reda Chalhoub,

Peter Kalivas,

Feng Luo,

Nianyi Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Aiyetigbo_2024_CVPR, author = {Aiyetigbo, Mary and Korte, Alexander and Anderson, Ethan and Chalhoub, Reda and Kalivas, Peter and Luo, Feng and Li, Nianyi}, title = {Unsupervised Microscopy Video Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6874-6883} }
Grad-CAMO: Learning Interpretable Single-Cell Morphological Profiles from 3D Cell Painting Images: Vivek Gopalakrishnan,

Jingzhe Ma,

Zhiyong Xie; [pdf]
[bibtex]
@InProceedings{Gopalakrishnan_2024_CVPR, author = {Gopalakrishnan, Vivek and Ma, Jingzhe and Xie, Zhiyong}, title = {Grad-CAMO: Learning Interpretable Single-Cell Morphological Profiles from 3D Cell Painting Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6988-6996} }
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain Transfer: Sai Kumar Reddy Manne,

Brendan Martin,

Tyler Roy,

Ryan Neilson,

Rebecca Peters,

Meghana Chillara,

Christine W. Lary,

Katherine J. Motyl,

Michael Wan; [pdf] [arXiv]
[bibtex]
@InProceedings{Manne_2024_CVPR, author = {Manne, Sai Kumar Reddy and Martin, Brendan and Roy, Tyler and Neilson, Ryan and Peters, Rebecca and Chillara, Meghana and Lary, Christine W. and Motyl, Katherine J. and Wan, Michael}, title = {NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6926-6935} }
Triage of 3D Pathology Data via 2.5D Multiple-instance Learning to Guide Pathologist Assessments: Gan Gao,

Andrew H. Song,

Fiona Wang,

David Brenes,

Rui Wang,

Sarah S.L. Chow,

Kevin W. Bishop,

Lawrence D. True,

Faisal Mahmood,

Jonathan T.C. Liu; [pdf]
[bibtex]
@InProceedings{Gao_2024_CVPR, author = {Gao, Gan and Song, Andrew H. and Wang, Fiona and Brenes, David and Wang, Rui and Chow, Sarah S.L. and Bishop, Kevin W. and True, Lawrence D. and Mahmood, Faisal and Liu, Jonathan T.C.}, title = {Triage of 3D Pathology Data via 2.5D Multiple-instance Learning to Guide Pathologist Assessments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6955-6965} }
Super-resolution of Biomedical Volumes with 2D Supervision: Cheng Jiang,

Alexander Gedeon,

Yiwei Lyu,

Eric Landgraf,

Yufeng Zhang,

Xinhai Hou,

Akhil Kondepudi,

Asadur Chowdury,

Honglak Lee,

Todd Hollon; [pdf] [arXiv]
[bibtex]
@InProceedings{Jiang_2024_CVPR, author = {Jiang, Cheng and Gedeon, Alexander and Lyu, Yiwei and Landgraf, Eric and Zhang, Yufeng and Hou, Xinhai and Kondepudi, Akhil and Chowdury, Asadur and Lee, Honglak and Hollon, Todd}, title = {Super-resolution of Biomedical Volumes with 2D Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6966-6977} }
Uncertainty Estimation for Tumor Prediction with Unlabeled Data: Juyoung Yun,

Shahira Abousamra,

Chen Li,

Rajarsi Gupta,

Tahsin Kurc,

Dimitris Samaras,

Alison Van Dyke,

Joel Saltz,

Chao Chen; [pdf]
[bibtex]
@InProceedings{Yun_2024_CVPR, author = {Yun, Juyoung and Abousamra, Shahira and Li, Chen and Gupta, Rajarsi and Kurc, Tahsin and Samaras, Dimitris and Van Dyke, Alison and Saltz, Joel and Chen, Chao}, title = {Uncertainty Estimation for Tumor Prediction with Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6946-6954} }
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images: Ali Nasiri-Sarvi,

Vincent Quoc-Huy Trinh,

Hassan Rivaz,

Mahdi S. Hosseini; [pdf] [arXiv]
[bibtex]
@InProceedings{Nasiri-Sarvi_2024_CVPR, author = {Nasiri-Sarvi, Ali and Trinh, Vincent Quoc-Huy and Rivaz, Hassan and Hosseini, Mahdi S.}, title = {Vim4Path: Self-Supervised Vision Mamba for Histopathology Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6894-6903} }
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks: Andrey Ignatov,

Josephine Yates,

Valentina Boeva; [pdf]
[bibtex]
@InProceedings{Ignatov_2024_CVPR, author = {Ignatov, Andrey and Yates, Josephine and Boeva, Valentina}, title = {Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6913-6925} }
Low-Resolution-Only Microscopy Super-Resolution Models Generalizing to Non-Periodicities at Atomic Scale: Björn Möller,

Zhengyang Li,

Markus Etzkorn,

Tim Fingscheidt; [pdf]
[bibtex]
@InProceedings{Moller_2024_CVPR, author = {M\"oller, Bj\"orn and Li, Zhengyang and Etzkorn, Markus and Fingscheidt, Tim}, title = {Low-Resolution-Only Microscopy Super-Resolution Models Generalizing to Non-Periodicities at Atomic Scale}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6936-6945} }
Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders: Alexander Sauer,

Yuan Tian,

Joerg Bewersdorf,

Jens Rittscher; [pdf]
[bibtex]
@InProceedings{Sauer_2024_CVPR, author = {Sauer, Alexander and Tian, Yuan and Bewersdorf, Joerg and Rittscher, Jens}, title = {Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6904-6912} }