activity
20222026
most citedThe ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

23 citations · 48 across the 9 of their papers we have counts for

collaborators

9 papers

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.CV2025★ 4 cited

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Tobias Rueckert, David Rauber, Raphaela Maerkl +58

Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…

cs.CV2024★ 2 cited

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery

Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios +29

The field of computer vision applied to videos of minimally invasive surgery is ever-growing. Workflow recognition pertains to the automated recognition of various aspects of a sur…

cs.CV2024★ 1 cited

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge

Hao Ding, Yuqian Zhang, Tuxun Lu +39

Surgical data science has seen rapid advancement with the excellent performance of end-to-end deep neural networks (DNNs). Despite their successes, DNNs have been proven susceptibl…

cs.CV2024★ 11 cited

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47

Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…

eess.IV2023

Synthesizing 3D computed tomography from MRI or CBCT using 2.5D deep neural networks

Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa

Deep learning techniques, particularly convolutional neural networks (CNNs), have gained traction for synthetic computed tomography (sCT) generation from Magnetic resonance imaging…

eess.IV2023★ 23 cited

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

Philippe Weitz, Masi Valkonen, Leslie Solorzano +38

The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for research and clinical applications. Advances in computing, deep learning, and availability…

cs.CV2023★ 6 cited

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…

eess.IV2022★ 1 cited

A Two Step Approach for Whole Slide Image Registration

Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa

Multi-stain whole-slide-image (WSI) registration is an active field of research. It is unclear, however, how the current WSI registration methods would perform on a real-world data…