publications

2025

1. 

   TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

   Meilong Xu, Saumya Gupta, Xiaoling Hu, and 5 more authors

   arXiv preprint arXiv:2412.06011 2025

   arXiv Bib

   @article{xu2024topocellgen,
     title = {TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model},
     author = {Xu, Meilong and Gupta, Saumya and Hu, Xiaoling and Li, Chen and Abousamra, Shahira and Samaras, Dimitris and Prasanna, Prateek and Chen, Chao},
     journal = {arXiv preprint arXiv:2412.06011},
     year = {2025},
   }

2. 

   TopoDiffusionNet: A Topology-aware Diffusion Model

   Saumya Gupta, Dimitris Samaras, and Chao Chen

   International Conference on Learning Representations (ICLR) 2025

   arXiv Bib Code

   @article{gupta2024topodiffusionnet,
     title = {TopoDiffusionNet: A Topology-aware Diffusion Model},
     author = {Gupta, Saumya and Samaras, Dimitris and Chen, Chao},
     journal = {International Conference on Learning Representations (ICLR)},
     year = {2025},
   }

3. 

   Backdooring Vision-Language Models with Out-Of-Distribution Data

   Weimin Lyu, Jiachen Yao, Saumya Gupta, and 6 more authors

   International Conference on Learning Representations (ICLR) 2025

   arXiv Bib

   @article{lyu2024backdooring,
     title = {Backdooring Vision-Language Models with Out-Of-Distribution Data},
     author = {Lyu, Weimin and Yao, Jiachen and Gupta, Saumya and Pang, Lu and Sun, Tao and Yi, Lingjie and Hu, Lijie and Ling, Haibin and Chen, Chao},
     journal = {International Conference on Learning Representations (ICLR)},
     year = {2025},
   }

4. 

   Semi-supervised Segmentation of Histopathology Images with Noise-aware Topological Consistency

   Meilong Xu, Xiaoling Hu, Saumya Gupta, and 2 more authors

   In European Conference on Computer Vision (ECCV) 2025

   arXiv Bib

   @inproceedings{xu2025semi,
     title = {Semi-supervised Segmentation of Histopathology Images with Noise-aware Topological Consistency},
     author = {Xu, Meilong and Hu, Xiaoling and Gupta, Saumya and Abousamra, Shahira and Chen, Chao},
     booktitle = {European Conference on Computer Vision (ECCV)},
     pages = {271--289},
     year = {2025},
     organization = {Springer},
   }

2024

1. 

   Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

   Pedro RAS Bassi, Wenxuan Li, Yucheng Tang, and 50 more authors

   Advances in Neural Information Processing Systems (NeurIPS) 2024

   arXiv Bib

   @article{bassi2024touchstone,
     title = {Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?},
     author = {Bassi, Pedro RAS and Li, Wenxuan and Tang, Yucheng and Isensee, Fabian and Wang, Zifu and Chen, Jieneng and Chou, Yu-Cheng and Kirchhoff, Yannick and Rokuss, Maximilian and Huang, Ziyan and Ye, Jin and He, Junjun and Wald, Tassilo and Ulrich, Constantin and Baumgartner, Michael and Roy, Saikat and Maier-Hein, Klaus H and Jaeger, Paul and Ye, Yiwen and Xie, Yutong and Zhang, Jianpeng and Chen, Ziyang and Xia, Yong and Xing, Zhaohu and Zhu, Lei and Sadegheih, Yousef and Bozorgpour, Afshin and Kumari, Pratibha and Azad, Reza and Merhof, Dorit and Shi, Pengcheng and Ma, Ting and Du, Yuxin and Bai, Fan and Huang, Tiejun and Zhao, Bo and Wang, Haonan and Li, Xiaomeng and Gu, Hanxue and Dong, Haoyu and Yang, Jichen and Mazurowski, Maciej A and Gupta, Saumya and Wu, Linshan and Zhuang, Jiaxin and Chen, Hao and Roth, Holger and Xu, Daguang and Blaschko, Matthew B and Decherchi, Sergio and Cavalli, Andrea and Yuille, Alan L and Zhou, Zongwei},
     journal = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2024},
   }

2023

1. 

   Topology-aware Uncertainty for Image Segmentation

   Saumya Gupta, Yikai Zhang, Xiaoling Hu, and 2 more authors

   Advances in Neural Information Processing Systems (NeurIPS) 2023

   arXiv Bib HTML Code Poster Slides

   @article{gupta2024topology,
     title = {Topology-aware Uncertainty for Image Segmentation},
     author = {Gupta, Saumya and Zhang, Yikai and Hu, Xiaoling and Prasanna, Prateek and Chen, Chao},
     journal = {Advances in Neural Information Processing Systems (NeurIPS)},
     volume = {36},
     year = {2023},
   }

2. 

   Structure-wise Uncertainty for Curvilinear Image Segmentation

   Saumya Gupta, Xiaoling Hu, and Chao Chen

   In NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations 2023

   Bib PDF

   @inproceedings{gupta2023structurewise,
     title = {Structure-wise Uncertainty for Curvilinear Image Segmentation},
     author = {Gupta, Saumya and Hu, Xiaoling and Chen, Chao},
     booktitle = {NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations},
     year = {2023},
     url = {https://openreview.net/forum?id=fjLD4U1MP7},
   }

2022

1. 

   Learning Topological Interactions for Multi-Class Medical Image Segmentation

   Saumya Gupta, Xiaoling Hu, James Kaan, and 8 more authors

   In European Conference on Computer Vision (ECCV) 2022

   arXiv Bib HTML Code Poster Slides

   @inproceedings{gupta2022learning,
     title = {Learning Topological Interactions for Multi-Class Medical Image Segmentation},
     author = {Gupta, Saumya and Hu, Xiaoling and Kaan, James and Jin, Michael and Mpoy, Mutshipay and Chung, Katherine and Singh, Gagandeep and Saltz, Mary and Kurc, Tahsin and Saltz, Joel and others},
     booktitle = {European Conference on Computer Vision (ECCV)},
     pages = {701--718},
     year = {2022},
     organization = {Springer},
   }

2021

1. 

   Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction

   Diplav Srivastava, Saumya Gupta, Srinivas Kudavelly, and 2 more authors

   In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021

   Bib PDF

   @inproceedings{srivastava2021unsupervised,
     title = {Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction},
     author = {Srivastava, Diplav and Gupta, Saumya and Kudavelly, Srinivas and Ga, Ramaraju and others},
     booktitle = {2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
     pages = {3209--3212},
     year = {2021},
     organization = {IEEE},
   }

2. 

   Del-Net: A Single-Stage Network for Mobile Camera ISP

   Saumya Gupta, Diplav Srivastava, Umang Chaturvedi, and 2 more authors

   arXiv preprint arXiv:2108.01623 2021

   arXiv Bib

   @article{gupta2021net,
     title = {Del-Net: A Single-Stage Network for Mobile Camera ISP},
     author = {Gupta, Saumya and Srivastava, Diplav and Chaturvedi, Umang and Jain, Anurag and Khandelwal, Gaurav},
     journal = {arXiv preprint arXiv:2108.01623},
     year = {2021},
   }

3. 

   Ovarian Assessment using Deep Learning-based 3D Ultrasound Super Resolution

   Saumya Gupta, Srinivas Rao Kudavelly, GA Ramaraju, and 1 more author

   In Medical Imaging 2021: Computer-Aided Diagnosis 2021

   Bib PDF

   @inproceedings{gupta2021ovarian,
     title = {Ovarian Assessment using Deep Learning-based 3D Ultrasound Super Resolution},
     author = {Gupta, Saumya and Kudavelly, Srinivas Rao and Ramaraju, GA and others},
     booktitle = {Medical Imaging 2021: Computer-Aided Diagnosis},
     volume = {11597},
     pages = {127--137},
     year = {2021},
     organization = {SPIE},
   }

2017

1. 

   Currency Recognition System using Image Processing

   Vedasamhitha Abburu, Saumya Gupta, SR Rimitha, and 2 more authors

   In 2017 Tenth International Conference on Contemporary Computing (IC3) 2017

   Bib PDF

   @inproceedings{abburu2017currency,
     title = {Currency Recognition System using Image Processing},
     author = {Abburu, Vedasamhitha and Gupta, Saumya and Rimitha, SR and Mulimani, Manjunath and Koolagudi, Shashidhar G},
     booktitle = {2017 Tenth International Conference on Contemporary Computing (IC3)},
     pages = {1--6},
     year = {2017},
     organization = {IEEE},
   }