💥 "BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability" has been accepted by Medical Image Analysis

💥 "Bayesian Image Super-resolution with Deep Modeling of Image Statistics" has been accepted by TPAMI

💥 "Rank-One Network: An Effective Framework for Image Restoration" has been accepted by TPAMI

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🌈🌈🌈 I'm delighted to share that, I delivered a 3-hour lecture to the international students participating in the Homerton College Summer Programme. Rather than focusing on AI, I introduced them to traditional image processing and analysis. It was my first time giving a lecture of this length, and I found it to be a rewarding challenge. I'm grateful to Mireia Crispin and Homerton College at the University of Cambridge for this opportunity!

🌈🌈🌈 Thanks to the organizers of Robust Cancer Early Detection Systems under Distribution Shifts and Uncertainty Workshop, it was a wonderful opportunity to give a talk on Bayesian Modeling for Medical Image Segmentation.

🚀🚀🚀 Thrilled to announce we establish the MCCAI Special Interest Group on Explainable AI for Medical Image Analysis (SIG-xMedIA). I am serving as the president of SIG-xMedIA. If you have any interest in xMedIA, welcome to join our group.

So excited ❗❗❗ Thanks to Dr Mireia Crispin-Ortuzar, I got an offer on Postdoctoral Research Associate in Cancer Imaging. I look forward to joining University of Cambridge and doing projects on the integration of machine learning and multi-omics data analysis for ovarian cancer.

Congratulations❗❗❗ Delighted to share our paper "BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability" got Elsevier-MedIA 1st Prize & Medical Image Analysis MICCAI Best Paper Award in MICCAI2023.

So excited ❗❗❗ Thanks to Prof. Clare Verrill, I got an offer on Postdoctoral Research Assistant in computational pathology. I look forward to joining University of Oxford and doing a project on "Urological Cancer Pathology AI-Beyond Prostate".

Wonderful ❗❗❗ Our conference paper "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" has been selected as one of the best papers of MICCAI 2022 to be highligted in the MICCAI 2022 Special Issue in Medical Image Analysis. Thanks to the contributions of Hangqi Zhou and Yibo Gao.