ICCV 2023 Open Access Repository

BioImage Computing Workshop

PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance Segmentation: Qi Chen,

Wei Huang,

Xiaoyu Liu,

Jiacheng Li,

Zhiwei Xiong; [pdf]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Qi and Huang, Wei and Liu, Xiaoyu and Li, Jiacheng and Xiong, Zhiwei}, title = {PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3903-3912} }
NU-Net: A Self-Supervised Smart Filter for Enhancing Blobs in Bioimages: Seongbin Lim,

Emmanuel Beaurepaire,

Anatole Chessel; [pdf]
[bibtex]
@InProceedings{Lim_2023_ICCV, author = {Lim, Seongbin and Beaurepaire, Emmanuel and Chessel, Anatole}, title = {NU-Net: A Self-Supervised Smart Filter for Enhancing Blobs in Bioimages}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3884-3893} }
On the Risk of Manual Annotations in 3D Confocal Microscopy Image Segmentation: Justin Sonneck,

Shuo Zhao,

Jianxu Chen; [pdf]
[bibtex]
@InProceedings{Sonneck_2023_ICCV, author = {Sonneck, Justin and Zhao, Shuo and Chen, Jianxu}, title = {On the Risk of Manual Annotations in 3D Confocal Microscopy Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3894-3902} }
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN: Jonas Utz,

Tobias Weise,

Maja Schlereth,

Fabian Wagner,

Mareike Thies,

Mingxuan Gu,

Stefan Uderhardt,

Katharina Breininger; [pdf] [arXiv]
[bibtex]
@InProceedings{Utz_2023_ICCV, author = {Utz, Jonas and Weise, Tobias and Schlereth, Maja and Wagner, Fabian and Thies, Mareike and Gu, Mingxuan and Uderhardt, Stefan and Breininger, Katharina}, title = {Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3856-3864} }
Direct Unsupervised Denoising: Benjamin Salmon,

Alexander Krull; [pdf]
[bibtex]
@InProceedings{Salmon_2023_ICCV, author = {Salmon, Benjamin and Krull, Alexander}, title = {Direct Unsupervised Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3838-3845} }
ACTIS: Improving Data Efficiency by Leveraging Semi-Supervised Augmentation Consistency Training for Instance Segmentation: Josef Lorenz Rumberger,

Jannik Franzen,

Peter Hirsch,

Jan-Philipp Albrecht,

Dagmar Kainmueller; [pdf]
[bibtex]
@InProceedings{Rumberger_2023_ICCV, author = {Rumberger, Josef Lorenz and Franzen, Jannik and Hirsch, Peter and Albrecht, Jan-Philipp and Kainmueller, Dagmar}, title = {ACTIS: Improving Data Efficiency by Leveraging Semi-Supervised Augmentation Consistency Training for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3790-3799} }
Generating Synthetic Computed Tomography (CT) Images to Improve the Performance of Machine Learning Model for Pediatric Abdominal Anomaly Detection: Samayan Bhattacharya,

Avigyan Bhattacharya,

Sk Shahnawaz; [pdf]
[bibtex]
@InProceedings{Bhattacharya_2023_ICCV, author = {Bhattacharya, Samayan and Bhattacharya, Avigyan and Shahnawaz, Sk}, title = {Generating Synthetic Computed Tomography (CT) Images to Improve the Performance of Machine Learning Model for Pediatric Abdominal Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3865-3873} }
Reinforcement Learning for Instance Segmentation with high-Level Priors: Paul Hilt,

Maedeh Zarvandi,

Edgar Kaziakhmedov,

Sourabh Bhide,

Maria Leptin,

Constantin Pape,

Anna Kreshuk; [pdf] [supp]
[bibtex]
@InProceedings{Hilt_2023_ICCV, author = {Hilt, Paul and Zarvandi, Maedeh and Kaziakhmedov, Edgar and Bhide, Sourabh and Leptin, Maria and Pape, Constantin and Kreshuk, Anna}, title = {Reinforcement Learning for Instance Segmentation with high-Level Priors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3913-3922} }
Virtual Perturbations to Assess Explainability of Deep-Learning Based Cell Fate Predictors: Christopher J. Soelistyo,

Guillaume Charras,

Alan R. Lowe; [pdf]
[bibtex]
@InProceedings{Soelistyo_2023_ICCV, author = {Soelistyo, Christopher J. and Charras, Guillaume and Lowe, Alan R.}, title = {Virtual Perturbations to Assess Explainability of Deep-Learning Based Cell Fate Predictors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3971-3980} }
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration: Tomáš Chobola,

Gesine Müller,

Veit Dausmann,

Anton Theileis,

Jan Taucher,

Jan Huisken,

Tingying Peng; [pdf]
[bibtex]
@InProceedings{Chobola_2023_ICCV, author = {Chobola, Tom\'a\v{s} and M\"uller, Gesine and Dausmann, Veit and Theileis, Anton and Taucher, Jan and Huisken, Jan and Peng, Tingying}, title = {Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3874-3883} }
Discrete Representation Learning for Modeling Imaging-Based Spatial Transcriptomics Data: Dig Vijay Kumar Yarlagadda,

Joan Massagué,

Christina Leslie; [pdf]
[bibtex]
@InProceedings{Yarlagadda_2023_ICCV, author = {Yarlagadda, Dig Vijay Kumar and Massagu\'e, Joan and Leslie, Christina}, title = {Discrete Representation Learning for Modeling Imaging-Based Spatial Transcriptomics Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3846-3855} }
Transformer-Based Detection of Microorganisms on High-Resolution Petri Dish Images: Nikolas Ebert,

Didier Stricker,

Oliver Wasenmüller; [pdf]
[bibtex]
@InProceedings{Ebert_2023_ICCV, author = {Ebert, Nikolas and Stricker, Didier and Wasenm\"uller, Oliver}, title = {Transformer-Based Detection of Microorganisms on High-Resolution Petri Dish Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3961-3970} }
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures: Christoph Reich,

Tim Prangemeier,

Heinz Koeppl; [pdf] [arXiv]
[bibtex]
@InProceedings{Reich_2023_ICCV, author = {Reich, Christoph and Prangemeier, Tim and Koeppl, Heinz}, title = {The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3940-3951} }
SortedAP: Rethinking Evaluation Metrics for Instance Segmentation: Long Chen,

Yuli Wu,

Johannes Stegmaier,

Dorit Merhof; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Long and Wu, Yuli and Stegmaier, Johannes and Merhof, Dorit}, title = {SortedAP: Rethinking Evaluation Metrics for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3923-3929} }
Complex-Valued Retrievals from Noisy Images Using Diffusion Models: Nadav Torem,

Roi Ronen,

Yoav Y. Schechner,

Michael Elad; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Torem_2023_ICCV, author = {Torem, Nadav and Ronen, Roi and Schechner, Yoav Y. and Elad, Michael}, title = {Complex-Valued Retrievals from Noisy Images Using Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3810-3820} }
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels: Jan Oscar Cross-Zamirski,

Praveen Anand,

Guy Williams,

Elizabeth Mouchet,

Yinhai Wang,

Carola-Bibiane Schönlieb; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cross-Zamirski_2023_ICCV, author = {Cross-Zamirski, Jan Oscar and Anand, Praveen and Williams, Guy and Mouchet, Elizabeth and Wang, Yinhai and Sch\"onlieb, Carola-Bibiane}, title = {Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3800-3809} }
DeepContrast: Deep Tissue Contrast Enhancement Using Synthetic Data Degradations and OOD Model Predictions: Nuno Pimpão Martins,

Yannis Kalaidzidis,

Marino Zerial,

Florian Jug; [pdf] [arXiv]
[bibtex]
@InProceedings{Martins_2023_ICCV, author = {Martins, Nuno Pimp\~ao and Kalaidzidis, Yannis and Zerial, Marino and Jug, Florian}, title = {DeepContrast: Deep Tissue Contrast Enhancement Using Synthetic Data Degradations and OOD Model Predictions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3828-3837} }
Deep Learning Framework Using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia: Abhishek Tiwari,

Ananya Singhal,

Saurabh J. Shigwan,

Rajeev Kumar Singh; [pdf]
[bibtex]
@InProceedings{Tiwari_2023_ICCV, author = {Tiwari, Abhishek and Singhal, Ananya and Shigwan, Saurabh J. and Singh, Rajeev Kumar}, title = {Deep Learning Framework Using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3821-3827} }
Towards Hierarchical Regional Transformer-Based Multiple Instance Learning: Josef Cersovsky,

Sadegh Mohammadi,

Dagmar Kainmueller,

Johannes Hoehne; [pdf] [arXiv]
[bibtex]
@InProceedings{Cersovsky_2023_ICCV, author = {Cersovsky, Josef and Mohammadi, Sadegh and Kainmueller, Dagmar and Hoehne, Johannes}, title = {Towards Hierarchical Regional Transformer-Based Multiple Instance Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3952-3960} }
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy: Leo Fillioux,

Emilie Gontran,

Jérôme Cartry,

Jacques RR Mathieu,

Sabrina Bedja,

Alice Boilève,

Paul-Henry Cournède,

Fanny Jaulin,

Stergios Christodoulidis,

Maria Vakalopoulou; [pdf] [arXiv]
[bibtex]
@InProceedings{Fillioux_2023_ICCV, author = {Fillioux, Leo and Gontran, Emilie and Cartry, J\'er\^ome and Mathieu, Jacques RR and Bedja, Sabrina and Boil\`eve, Alice and Courn\`ede, Paul-Henry and Jaulin, Fanny and Christodoulidis, Stergios and Vakalopoulou, Maria}, title = {Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {3930-3939} }