@inproceedings{chen2026all,title={All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs},author={Chen, Xi and Jin, Mingyu and Niu, Jingcheng and Yin, Yutong and Zhao, Jinman and Guo, Bangwei and Metaxas, Dimitris N. and Wang, Zhaoran and Yue, Yutao and Penn, Gerald},booktitle={International Conference on Machine Learning (ICML)},year={2026},}
@inproceedings{guo2025k,title={K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model},author={Guo, Bangwei and Gao, Yunhe and Ye, Meng and Gu, Difei and Zhou, Yang and Axel, Leon and Metaxas, Dimitris},booktitle={International Conference on Learning Representations (ICLR)},year={2026},}
@article{gu2026lucid,title={LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery},author={Gu, Difei and Gao, Yunhe and Chatzoudis, Gerasimos and Dong, Zihan and Zhang, Guoning and Guo, Bangwei and Zhou, Yang and Zhou, Mu and Metaxas, Dimitris},journal={arXiv preprint arXiv:2602.07311},year={2026},}
@article{zhou2026evidence,title={Evidence Over Plans: Online Trajectory Verification for Skill Distillation},author={Zhou, Yang and Dong, Zihan and Wang, Zhenting and Jin, Can and Zhao, Shiyu and Guo, Bangwei and Gu, Difei and Zhang, Linjun and Zhou, Mu and Metaxas, Dimitris N.},journal={arXiv preprint arXiv:2605.09192},year={2026},}
@inproceedings{guo2025verse,title={Verse: Integrating multiple queries as prompts for versatile cardiac mri segmentation},author={Guo, Bangwei and Ye, Meng and Gao, Yunhe and Xin, Bingyu and Axel, Leon and Metaxas, Dimitris},booktitle={International Conference on Information Processing in Medical Imaging},pages={373--387},year={2025},organization={Springer},}
@inproceedings{axel2025analysis,title={Analysis of Cardiac Dynamic Global Function},author={Axel, Leon and Kanski, Mikael and Jhaveri, Amit and Ye, Meng and Guo, Bangwei and He, Xiaoxiao and Metaxas, Dimitris},booktitle={Functional Imaging and Modeling of the Heart (FIMH)},year={2025},publisher={Springer},}
@article{ye2024learning,title={Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI},author={Ye, Meng and Xin, Bingyu and Guo, Bangwei and Axel, Leon and Metaxas, Dimitris},journal={arXiv preprint arXiv:2411.15233},year={2024},}
@article{yuan2024image,title={Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance},author={Yuan, Min and Ding, Hao and Guo, Bangwei and Yang, Miaomiao and Yang, Y and Xu, Xu Steven},journal={JCO Clinical Cancer Informatics},year={2024},publisher={American Society of Clinical Oncology},}
@article{guo2023robust,title={A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations},author={Guo, Bangwei and Li, Xingyu and Yang, Miaomiao and Zhang, Hong and Xu, Xu Steven},journal={Computerized Medical Imaging and Graphics},volume={105},pages={102189},year={2023},publisher={Elsevier},}
Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: achieving state-of-the-art predictive performance with fewer data using swin transformer
Bangwei Guo, Xingyu Li, Miaomiao Yang, Jitendra Jonnagaddala, Hong Zhang, and Xu Steven Xu
@article{guo2023predicting,title={Predicting microsatellite instability and key biomarkers in colorectal cancer from H\&E-stained images: achieving state-of-the-art predictive performance with fewer data using swin transformer},author={Guo, Bangwei and Li, Xingyu and Yang, Miaomiao and Jonnagaddala, Jitendra and Zhang, Hong and Xu, Xu Steven},journal={The Journal of Pathology: Clinical Research},volume={9},number={3},pages={223--235},year={2023},publisher={Wiley Online Library},}
@article{liu2023prognostic,title={Prognostic significance of Tumor-Infiltrating lymphocytes determined using LinkNet on colorectal Cancer pathology images},author={Liu, Anran and Li, Xingyu and Wu, Hongyi and Guo, Bangwei and Jonnagaddala, Jitendra and Zhang, Hong and Xu, Steven},journal={JCO Precision Oncology},volume={7},pages={e2200522},year={2023},publisher={Wolters Kluwer Health},}
@article{cen2023dpseq,title={A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture},author={Cen, Min and Li, Xingyu and Guo, Bangwei and Jonnagaddala, Jitendra and Zhang, Hong and Xu, Xu Steven},journal={The American Journal of Pathology},volume={193},number={12},pages={2122--2132},year={2023},publisher={Elsevier},}
