Publications by authors named "Kwang-Ting Cheng"

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FedHAC: Towards Robust Federated Multi-Lesion Segmentation with Heterogeneous Annotation Completeness.
Yangyang Xiang, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

IEEE J Biomed Health Inform· October 2025

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A generalizable pathology foundation model using a unified knowledge distillation pretraining framework.
Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Cheng Jin, Chenglong Zhao, Kwang-Ting Cheng

Nat Biomed Eng· September 2025

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Rethinking boundary detection in deep learning-based medical image segmentation.
Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng

Med Image Anal· July 2025

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MedIAnomaly: A comparative study of anomaly detection in medical images.
Yu Cai, Weiwen Zhang, Hao Chen, Kwang-Ting Cheng

Med Image Anal· May 2025

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Boosting Convolution With Efficient MLP-Permutation for Volumetric Medical Image Segmentation.
Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen

IEEE Trans Med Imaging· May 2025

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Continuous-time digital twin with analog memristive neural ordinary differential equation solver.
Hegan Chen, Jichang Yang, Jia Chen, Songqi Wang, Shaocong Wang, Kwang-Ting Cheng

Sci Adv· May 2025

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Generalized Task-Driven Medical Image Quality Enhancement With Gradient Promotion.
Dong Zhang, Kwang-Ting Cheng

IEEE Trans Pattern Anal Mach Intell· April 2025

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Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.
Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Kwang-Ting Cheng

IEEE Rev Biomed Eng· March 2025

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SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts.
Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan

IEEE Trans Med Imaging· March 2025

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Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification.
Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng

IEEE Trans Neural Netw Learn Syst· January 2025

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Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation.
Xixi Jiang, Dong Zhang, Xiang Li, Kangyi Liu, Kwang-Ting Cheng

Med Image Anal· January 2025

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Random resistive memory-based deep extreme point learning machine for unified visual processing.
Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Kwang-Ting Cheng

Nat Commun· January 2025

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Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints.
Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Kwang-Ting Cheng

Med Image Anal· December 2024

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Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation.
Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng

IEEE Trans Neural Netw Learn Syst· November 2024

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LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction.
Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Kwang-Ting Cheng

IEEE Trans Cybern· October 2024

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Semantic memory-based dynamic neural network using memristive ternary CIM and CAM for 2D and 3D vision.
Yue Zhang, Woyu Zhang, Shaocong Wang, Ning Lin, Yifei Yu, Kwang-Ting Cheng

Sci Adv· August 2024

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BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels.
Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen

IEEE Trans Med Imaging· June 2024

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Joint stereo 3D object detection and implicit surface reconstruction.
Shichao Li, Xijie Huang, Zechun Liu, Kwang-Ting Cheng

Sci Rep· June 2024

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Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation.
Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng

IEEE Trans Med Imaging· November 2023

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Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Kwang-Ting Cheng

Med Image Anal· October 2023

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M FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation.
Junjie Shi, Li Yu, Qimin Cheng, Xin Yang, Kwang-Ting Cheng

IEEE J Biomed Health Inform· October 2023

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The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning.
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

IEEE Trans Med Imaging· August 2023

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FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation.
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Kwang-Ting Cheng

IEEE Trans Med Imaging· July 2023

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BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation.
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

IEEE J Biomed Health Inform· July 2023

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Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos.
Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng

IEEE Trans Med Imaging· May 2023

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