News
| Jun 17, 2025 | Four of our papers have been accepted by MICCAi2025 |
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| May 27, 2025 | Our MICCAI SIG-xMedIA Online Seminar is taking place! |
| May 25, 2025 | Join us—The MICCAI 2025 CARE Challenge is live! 🌈🌈🌈 Welcome to participate our MICCAI 2025 CARE challenge: Toward Real-World Medical Image Analysis. We provide 1300+ cases from 18 centers. |
| May 03, 2025 | Join SIG-xMedIA for Advancing Explainable AI in Medical Imaging |
| Aug 12, 2024 | Guest lecture on Image Processing and Analysis |
| Jun 24, 2024 | Flash talk on Bayesian Modeling for Medical Image Segmentation 🌈🌈🌈 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. |
| May 01, 2024 | We founded MICCAI SIG-xMedIA 🚀🚀🚀 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. |
| Dec 04, 2023 | We got MedIA MICCAI Best Paper Award 2023 |
| Dec 04, 2023 | I got a Research Associate position in Univeersity of Cambridge ❗❗❗ 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 pan-cancer. |
| Dec 14, 2022 | I got a Postdoctoral Research Assistant position in University of Oxford 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”. |
| Nov 16, 2022 | Our paper has been selected to be highligted in the MICCAI 2022 Special Issue in Medical Image Analysis 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. |