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CVPath+Vision4Neuro@WACV 2027 : Vision for Biomedical Discovery (CVPath + Vision4Neuro) @ WACV2027 | |||||||||||||||
| Link: https://cvpath-vision4neuro.github.io/wacv2027/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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Vision for Biomedical Discovery (CVPath + Vision4Neuro)
Full-day workshop at IEEE/CVF WACV 2027 Orlando, Florida, USA, 4-5 January 2027 https://cvpath-vision4neuro.github.io/wacv2027/ OVERVIEW Tissue slides and neural recordings could hardly be more different as data, yet they raise the same methodological questions: foundation and multimodal models, generalization under real distribution shift, and what counts as evidence that a model is ready for clinical use. This full-day workshop brings the two communities into one room, under a shared umbrella, with two self-contained tracks, a joint panel and a combined poster session. Each track keeps its own call for papers, program committee and reviewing process. Authors select the track when submitting. TRACK 1 - CVPath: Computer Vision for Computational and Digital Pathology Topics include, but are not limited to: Foundation and self-supervised models for pathology Whole-slide image analysis and gigapixel understanding Cell- and nuclei-level vision; dense prediction at cellular scale Imaging beyond H&E: IHC, multiplex/mIF, multi-stain Robustness, domain shift and weak supervision in computational pathology Multimodal, generative and vision-language models in computational pathology AI interpretability and trustworthy AI in computational pathology Reproducibility, benchmarks, deployment and clinical translation The track hosts the OWL challenge (Observing What Models Learn) on interpretable AI for hypothesis-free discovery in prostate cancer histopathology, run on the Grand Challenge platform: https://owl.grand-challenge.org/ TRACK 2 - Vision4Neuro: Neural Decoding and Computer Vision for Behavioral and Clinical Neuroscience Topics include, but are not limited to: Decoding and reconstruction of visual experience from neural signals (EEG, MEG, fMRI, fNIRS, ECoG) Brain-to-image and brain-to-video generation Encoding models and representational alignment between vision-language models and cortex Multimodal neuroimaging and fusion Brain-computer interfaces, gaze-driven interfaces and assistive communication Vision-based behavioural phenotyping: eye tracking and markerless pose analysis Clinical and translational applications in neurodevelopmental and neurodegenerative conditions Robustness in the wild: cross-subject and cross-session transfer, domain shift, calibration, open-set recognition SUBMISSIONS Three submission types, all in the WACV 2027 format, page limits excluding references: Regular papers, 8 pages. Archival, published in the WACV 2027 Workshop Proceedings on IEEE Xplore and in the CVF Open Access repository. Short papers, 4 pages. Non-archival, presented as posters or lightning talks. Extended abstracts, 2 pages. Non-archival, presented as posters or lightning talks. Reviewing is double-blind. Submissions are handled through OpenReview. WACV 2027 does not accommodate remote presentations: at least one author of each accepted contribution must register and present on site. IMPORTANT DATES Regular papers (archival) 9 October 2026, 23:59 AoE Notification, regular papers 30 October 2026 Short papers and extended abstracts 6 November 2026, 23:59 AoE Camera-ready, archival papers 20 November 2026 Workshop 4-5 January 2027 ORGANIZERS CVPath: Soumick Chatterjee (Human Technopole, Milan), Francesco Ciompi, Khrystyna Faryna, Evgenia Martynova (Radboudumc), Francesco Merolla (University of Molise), Antonio Maria Rinaldi, Cristian Tommasino (University of Naples Federico II). Vision4Neuro: Marios Petrov, Adham Atyabi, Terrance E. Boult (University of Colorado Colorado Springs), Frederick Shic (Seattle Children's Research Institute and University of Washington). CONTACT CVPath: cristian.tommasino@unina.it Vision4Neuro: mpetrov@uccs.edu |
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