publications

2026

1. NeurIPS

   

   UniPro: Unified Multi-Mode Medical Image Segmentation from 2D Images to 3D Volumes via Propagation

   Bangwei Guo, Yunhe Gao, Meng Ye, Yang Zhou, Difei Gu, Guoning Zhang, Leon Axel, and Dimitris Metaxas

   In Advances in Neural Information Processing Systems (NeurIPS), 2026

   arXiv Bib PDF

   @inproceedings{guo2026unipro,
     title = {{UniPro: Unified Multi-Mode Medical Image Segmentation from 2D Images to 3D Volumes via Propagation}},
     author = {Guo, Bangwei and Gao, Yunhe and Ye, Meng and Zhou, Yang and Gu, Difei and Zhang, Guoning and Axel, Leon and Metaxas, Dimitris},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2026},
   }

2. arXiv

   

   Knossos and Ariadne: Benchmarking and Learning Complete Diagram Topology Extraction with Vision-Language Models

   Bangwei Guo, Xujiang Zhao, Shengyu Chen, Yanchi Liu, Wei Cheng, Xi Zhu, Guoning Zhang, Dimitris N. Metaxas, and Haifeng Chen

   arXiv preprint arXiv:2610.04721, 2026

   arXiv Bib PDF Code

   @article{guo2026knossos,
     title = {{Knossos and Ariadne: Benchmarking and Learning Complete Diagram Topology Extraction with Vision-Language Models}},
     author = {Guo, Bangwei and Zhao, Xujiang and Chen, Shengyu and Liu, Yanchi and Cheng, Wei and Zhu, Xi and Zhang, Guoning and Metaxas, Dimitris N. and Chen, Haifeng},
     journal = {arXiv preprint arXiv:2610.04721},
     year = {2026},
   }

3. arXiv

   

   Learning Where to Look: Anatomical Grounding and Guided Attention for Cardiac MRI Vision-Language Models

   Bangwei Guo, Xiao Chen, Boris Mailhe, Jia Yao, Yiqing Wang, Ankush Mukherjee, Yikang Liu, Zheyuan Zhang, Hang Yu, Terrence Chen, and Shanhui Sun

   arXiv preprint arXiv:2609.39899, 2026

   arXiv Bib PDF

   @article{guo2026cara,
     title = {{Learning Where to Look: Anatomical Grounding and Guided Attention for Cardiac MRI Vision-Language Models}},
     author = {Guo, Bangwei and Chen, Xiao and Mailhe, Boris and Yao, Jia and Wang, Yiqing and Mukherjee, Ankush and Liu, Yikang and Zhang, Zheyuan and Yu, Hang and Chen, Terrence and Sun, Shanhui},
     journal = {arXiv preprint arXiv:2609.39899},
     year = {2026},
   }

4. arXiv

   

   TopoAgent: A Structure-Aware Perception-to-Reasoning Framework for Diagram-to-Graph Topology Extraction with Large Vision-Language Models

   Bangwei Guo, Xujiang Zhao, Yanchi Liu, Wei Cheng, Shengyu Chen, Dongyue Li, Masaharu Morimoto, Takayuki Kuroda, Dimitris Metaxas, and Haifeng Chen

   arXiv preprint arXiv:2608.28701, 2026

   arXiv Bib PDF Website

   @article{guo2026topoagent,
     title = {{TopoAgent: A Structure-Aware Perception-to-Reasoning Framework for Diagram-to-Graph Topology Extraction with Large Vision-Language Models}},
     author = {Guo, Bangwei and Zhao, Xujiang and Liu, Yanchi and Cheng, Wei and Chen, Shengyu and Li, Dongyue and Morimoto, Masaharu and Kuroda, Takayuki and Metaxas, Dimitris and Chen, Haifeng},
     journal = {arXiv preprint arXiv:2608.28701},
     year = {2026},
   }

5. ICML

   

   All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs

   Xi Chen, Mingyu Jin, Jingcheng Niu, Yutong Yin, Jinman Zhao, Bangwei Guo, Dimitris N. Metaxas, Zhaoran Wang, Yutao Yue, and Gerald Penn

   In International Conference on Machine Learning (ICML), 2026

   arXiv Bib PDF Code

   @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},
   }

6. arXiv

   

   Evidence Over Plans: Online Trajectory Verification for Skill Distillation

   Yang Zhou, Zihan Dong, Zhenting Wang, Can Jin, Shiyu Zhao, Bangwei Guo, Difei Gu, Linjun Zhang, Mu Zhou, and Dimitris N. Metaxas

   arXiv preprint arXiv:2605.09192, 2026

   arXiv Bib PDF

   @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},
   }

7. ICLR

   

   K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model

   Bangwei Guo, Yunhe Gao, Meng Ye, Difei Gu, Yang Zhou, Leon Axel, and Dimitris Metaxas

   In International Conference on Learning Representations (ICLR), 2026

   arXiv Bib PDF Code

   @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},
   }

8. arXiv

   

   LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery

   Difei Gu, Yunhe Gao, Gerasimos Chatzoudis, Zihan Dong, Guoning Zhang, Bangwei Guo, Yang Zhou, Mu Zhou, and Dimitris Metaxas

   arXiv preprint arXiv:2602.07311, 2026

   arXiv Bib PDF

   @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},
   }

2025

1. arXiv

   

   M\^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark

   Yang Zhou, Mingyu Zhao, Zhenting Wang, Difei Gu, Bangwei Guo, Ruosong Ye, Ligong Han, Can Jin, and Dimitris N Metaxas

   arXiv preprint arXiv:2511.17729, 2025

   PDF
2. IPMI

   

   Verse: Integrating multiple queries as prompts for versatile cardiac mri segmentation

   Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, and Dimitris Metaxas

   In International Conference on Information Processing in Medical Imaging, 2025

   Bib PDF Code

   @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},
   }

3. FIMH

   

   Analysis of Cardiac Dynamic Global Function

   Leon Axel, Mikael Kanski, Amit Jhaveri, Meng Ye, Bangwei Guo, Xiaoxiao He, and Dimitris Metaxas

   In Functional Imaging and Modeling of the Heart (FIMH), 2025

   Bib HTML

   @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},
   }

2024

1. arXiv

   

   Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI

   Meng Ye, Bingyu Xin, Bangwei Guo, Leon Axel, and Dimitris Metaxas

   arXiv preprint arXiv:2411.15233, 2024

   arXiv Bib PDF Code

   @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},
   }

2. JCO CCI

   

   Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance

   Min Yuan, Hao Ding, Bangwei Guo, Miaomiao Yang, Y Yang, and Xu Steven Xu

   JCO Clinical Cancer Informatics, 2024

   Bib PDF

   @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},
   }

2023

1. AJP

   

   A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture

   Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, and Xu Steven Xu

   The American Journal of Pathology, 2023

   arXiv Bib PDF

   @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},
   }

2. J Path CR

   

   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

   The Journal of Pathology: Clinical Research, 2023

   Bib PDF Code

   @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},
   }

3. CMIG

   

   A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations

   Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang, and Xu Steven Xu

   Computerized Medical Imaging and Graphics, 2023

   Bib PDF

   @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},
   }

4. JCO PO

   

   Prognostic significance of Tumor-Infiltrating lymphocytes determined using LinkNet on colorectal Cancer pathology images

   Anran Liu, Xingyu Li, Hongyi Wu, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, and Steven Xu

   JCO Precision Oncology, 2023

   Bib PDF

   @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},
   }