Selected Publications

For the full list, please see my Google Scholar.

Journal Articles

AttenScribble: Attention-enhanced Scribble Supervision for Medical Image Segmentation

Published in Journal of Visual Communication and Image Representation, 2025

A weakly supervised medical image segmentation framework that learns from sparse scribble annotations using pluggable spatial self-attention, attentive similarity regularization, partial segmentation loss, and masked CRF regularization.

Recommended citation: Tian, M., Yang, Q., & Gao, Y. (2025). "AttenScribble: Attention-enhanced Scribble Supervision for Medical Image Segmentation." Journal of Visual Communication and Image Representation, 110, 104476.
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Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model

Published in International Journal of Imaging Systems and Technology, 2024

A diffusion-based medical image synthesis framework that generates annotation-aligned image-mask pairs, using texture style injection and frequency-domain attention to improve realism and downstream segmentation under limited-label settings.

Recommended citation: Huang, Z., Yang, Q., Tian, M., & Gao, Y. (2024). "Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model." International Journal of Imaging Systems and Technology, 35(1), e70007.
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A Dynamic Interactive Learning Framework for Automated 3D Medical Image Segmentation

Published in arXiv / CoRR, 2023

An interactive online-learning framework for 3D medical image segmentation that combines sparse user input, proxy-mask propagation, weak supervision, replay, and label smoothing to reduce annotation effort while maintaining robust segmentation performance.

Recommended citation: Tian, M., Chen, X., & Gao, Y. (2023). "A Dynamic Interactive Learning Framework for Automated 3D Medical Image Segmentation." arXiv preprint arXiv:2312.06072.
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Open-source Algorithm and Software for Computed Tomography-based Virtual Pancreatoscopy and Other Applications

Published in Visual Computing for Industry, Biomedicine, and Art, 2022

An open-source 3D Slicer-based virtual pancreatoscopy platform that combines pancreatic duct segmentation, optimal path planning, and super-resolution to enable CT-based fly-through visualization and quantitative duct analysis.

Recommended citation: Huang, H., Yu, X., Tian, M., He, W., Li, S. X., Liang, Z., & Gao, Y. (2022). "Open-source Algorithm and Software for Computed Tomography-based Virtual Pancreatoscopy and Other Applications." Visual Computing for Industry, Biomedicine, and Art, 5, Article 20.
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MCMC Guided CNN Training and Segmentation for Pancreas Extraction

Published in IEEE Access, 2021

A probabilistic CNN-based pancreas segmentation method that uses MCMC sampling to guide 3D patch selection during training and segmentation, addressing anatomical variability, small organ size, and fuzzy boundaries in abdominal CT.

Recommended citation: Tian, M., He, J., Yu, X., Cai, C., & Gao, Y. (2021). "MCMC Guided CNN Training and Segmentation for Pancreas Extraction." IEEE Access, 9, 90539–90554.
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Conference Papers

Multi-scale Multi-task Distillation for Incremental 3D Medical Image Segmentation

Published in Computer Vision – ECCV 2022 Workshops, Lecture Notes in Computer Science, 2023

A knowledge-distillation framework for incremental 3D medical image segmentation, designed to preserve prior task knowledge while adapting segmentation models to new structures or datasets.

Recommended citation: Tian, M., Yang, Q., & Gao, Y. (2023). "Multi-scale Multi-task Distillation for Incremental 3D Medical Image Segmentation." Computer Vision – ECCV 2022 Workshops, Lecture Notes in Computer Science, 13803, 369–384.
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Kevin Tian