The Emergence of Reproducibility and Consistency in Diffusion Models

no code implementations • 8 Oct 2023 • Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu

In this work, we investigate an intriguing and prevalent phenomenon of diffusion models which we term as "consistent model reproducibility": given the same starting noise input and a deterministic sampler, different diffusion models often yield remarkably similar outputs.

Image Generation Memorization

Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery

no code implementations • 16 Mar 2023 • Jinfan Zhou, William Muirhead, Simon C. Williams, Danail Stoyanov, Hani J. Marcus, Evangelos B. Mazomenos

Automated recognition of instances when the aneurysm is exposed in the surgical video would be a valuable reference point for neuronavigation, indicating phase transitioning and more importantly designating moments of high risk for rupture.

Scene Understanding

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge

no code implementations • 8 Dec 2022 • Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Max Berniker, Satoshi Kondo, Emanuele Colleoni, Dimitris Psychogyios, Yueming Jin, Jinfan Zhou, Evangelos Mazomenos, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony Jarc

Using this publicly available dataset and results as a springboard, future work may enable more efficient training of surgeons with advances in surgical data science.

Skills Assessment