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Proceedings. IEEE International Symposium on Biomedical Imaging|June 29, 2026
LEARNABLE HIERARCHICAL VISUAL CONTEXTS FOR TUMOR SEGMENTATION IN COMPUTED TOMOGRAPHY IMAGESJue Jiang, Harini VeeraraghavanIEEE Transactions on Medical Imaging|February 25, 2022
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTsJue Jiang, Harini VeeraraghavanMedical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 28, 2020
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentationJue Jiang, Harini VeeraraghavanProceedings of Machine Learning Research|January 20, 2025
Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentationJue Jiang, Harini VeeraraghavanProceedings. IEEE International Symposium on Biomedical Imaging|July 4, 2025
BENCHMARKING TRANSFERABILITY OF SELF-SUPERVISED PRETRAINING FOR MULTI-ORGAN SEGMENTATION ON DIFFERENT MODALITIESJue Jiang, Harini VeeraraghavanMedical Physics|December 5, 2024
Self-supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differencesJue Jiang, Aneesh Rangnekar, Harini VeeraraghavanProceedings of Machine Learning Research|May 25, 2026
Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical imagesJue Jiang, Aneesh Rangnekar, Harini VeeraraghavanProceedings of Spie--The International Society for Optical Engineering|October 20, 2025
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasetsAneesh Rangnekar, Nishant Nadkarni, Jue Jiang, et al.IEEE Transactions on Medical Imaging|December 2, 2021
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image SegmentationJue Jiang, Andreas Rimner, Joseph O Deasy, et al.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 5, 2022
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Jue Jiang, Neelam Tyagi, Kathryn Tringale, et al.Pageof 24