MICCAI 2024: 2nd Place in #PhDMadnessAward for PhD work on 'Unsupervised Anomaly Detection'
MICCAI 2024 Workshops: Two Best Paper Awards
MICCAI 2024: One main conference paper accepted, plus five workshop papers
MICCAI 2023: Three papers accepted
MIDL 2023: Oral presentation on Universal Anomaly Detection
ICML 2023 IMLH Workshop: Paper 'AutoDDPM' accepted and presented
Published in top venues including Nature Machine Intelligence (2022), MICCAI (2023, 2024), and MIDL (2023)
Developed open-source tools such as Automatic Diffusion Models, Pseudo-healthy Generative Networks, and Deformable Autoencoders for medical anomaly detection