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Hongwei Bran Li

Hongwei Bran Li
(📷)

Postdoctoral Researcher
@ Martinos Center, MGH,
Harvard Medical School.

📧 holi2{at}mgh.harvard.edu

[📖, 🎓, 💻]

I currently work on medical image analysis and machine learning with Matt Rosen and Juan Eugenio Iglesias at Martinos center, with a focus on robust learning in ultra-low-field MR imaging.

During the Ph.D. program, I was supervised by Bjoern Menze and working closedly with Bene Wiestler at TUM. I obtained my M.Sc. degree in Informatics at Sun Yat-sen University incl. an eight-month exchange at CVIP group at the University of Dundee, supervised by Wei-Shi Zheng and Jianguo Zhang.

Research Interests

  • Machine learning and medical computer vision

keywords

Representative works

[8] The Liver Tumor Segmentation Benchmark (LiTS), Medical Image Analysis (2022) [pdf] (cited 800+times)

[7] Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach, MICCAI'2022 [pdf]

[6] Imbalance-aware Self-supervised Learning for 3D Radiomic Representations, MICCAI'2021 [pdf]

[5] 3D Deep Learning Enables Accurate Layer Mapping of 2D Materials, ACS Nano (2021) [pdf]

[4] Automated Claustrum Segmentation in Human Brain MRI Using Deep Learning, Human Brain Mapping (2021) [pdf]

[3] Deep-Learning Generated Synthetic Double Inversion Recovery Images Improve Multiple Sclerosis Lesion Detection, Investigative Radiology (2020) [pdf]

[2] DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis, MICCAI'2019 [pdf] (cited 70+times)

[1] Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images, NeuroImage (2018) [pdf] (cited 200+times)