activity
20172026
most citedAn application of cascaded 3D fully convolutional networks for medical image segmentation

332 citations · 702 across the 40 of their papers we have counts for

collaborators

42 papers

cs.CV2026★ 4 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.CV2026★ 1 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

Point tracking in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-based scanning…

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…