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From the 1 of 7 linked papers with an AI index.

most citedGenerative AI and Foundation Models in Medical Image

3 citations · 4 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV20263 cited

Generative AI and Foundation Models in Medical Image

Masahiro Oda

In recent years, generative AI has attracted significant public attention, and its use has been rapidly expanding across a wide range of domains. From creative tasks such as text s…

cs.CV20261 cited

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer

Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5

This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, c…

cs.CV2026

Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes

Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5

This paper proposes an automated classification method of chest CT volumes based on likelihood of COVID-19 cases. Novel coronavirus disease 2019 (COVID-19) spreads over the world,…

cs.CV2026

Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)

Adam Schmidt, Mert Asim Karaoglu, Zijian Wu +32

The paper presents the 2025 Surgical Tattoos in Infrared Challenge (STIRC2025), evaluating point-tracking algorithms on infrared tattoo data from surgical videos for accuracy and i…

cs.CV2026

OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025

Hanna Hoffmann, Setareh Bady, Claas de Boer +54

Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment holds significant potential to…

cs.CV2026

WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images

Yunheng Wu, Wenqi Huang, Liangyi Wang +4

Whole-slide images (WSIs) are fundamental for computational pathology, where accurate lesion segmentation is critical for clinical decision making. Existing methods partition WSIs…