All Publications

2026

1. MIDL

   

   No Evidence of Disease: Clinically-Risky Adversarial Chest CT Report Generation

   Samra Irshad, Junho Kim, and Seong Tae Kim

   In Proceedings of the Medical Imaging with Deep Learning (MIDL), 2026

   Bib HTML

   @inproceedings{irshad2026noevidence,
     title = {No Evidence of Disease: Clinically-Risky Adversarial Chest CT Report Generation},
     author = {Irshad, Samra and Kim, Junho and Kim, Seong Tae},
     booktitle = {Proceedings of the Medical Imaging with Deep Learning (MIDL)},
     year = {2026},
     address = {Taipei, Taiwan},
   }

2. IEEE TDSC

   

   Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples

   Samra Irshad, Seungkyu Lee, Nassir Navab, and 2 more authors

   IEEE Transactions on Dependable and Secure Computing, 2026

   DOI arXiv Bib Code

   @article{irshad2026adversarial,
     title = {Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples},
     author = {Irshad, Samra and Lee, Seungkyu and Navab, Nassir and Lee, Hong Joo and Kim, Seong Tae},
     journal = {IEEE Transactions on Dependable and Secure Computing},
     year = {2026},
     publisher = {IEEE},
     doi = {10.1109/TDSC.2026.3660107},
   }

2024

1. arXiv

   

   SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions–An EndoVis’ 24 Challenge

   Hao Ding, Yuqian Zhang, Tuxun Lu, and 9 more authors

   arXiv preprint arXiv:2407.11906, 2024

   DOI arXiv Bib

   @article{ding2024segstrong,
     title = {SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions--An EndoVis' 24 Challenge},
     author = {Ding, Hao and Zhang, Yuqian and Lu, Tuxun and Liang, Ruixing and Shu, Hongchao and Seenivasan, Lalithkumar and Long, Yonghao and Dou, Qi and Gao, Cong and Leng, Yicheng and Irshad, Samra and others},
     journal = {arXiv preprint arXiv:2407.11906},
     year = {2024},
     doi = {https://doi.org/10.48550/arXiv.2407.11906},
   }

2023

1. IEEE Access

   

   Improved abdominal multi-organ segmentation via 3d boundary-constrained deep neural networks

   Samra Irshad, Douglas PS Gomes, and Seong Tae Kim

   IEEE Access, 2023

   DOI Bib Code

   @article{irshad2023improved,
     title = {Improved abdominal multi-organ segmentation via 3d boundary-constrained deep neural networks},
     author = {Irshad, Samra and Gomes, Douglas PS and Kim, Seong Tae},
     journal = {IEEE Access},
     volume = {11},
     pages = {35097--35110},
     year = {2023},
     publisher = {IEEE},
     doi = {10.1109/ACCESS.2023.3264582},
   }

2021

1. CMBBEIV

   A new approach for retinal vessel differentiation using binary particle swarm optimization

   Samra Irshad, Xiaoxia Yin, and Yanchun Zhang

   Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2021

   DOI Bib

   @article{Irshad2021ANA,
     title = {A new approach for retinal vessel differentiation using binary particle swarm optimization},
     author = {Irshad, Samra and Yin, Xiaoxia and Zhang, Yanchun},
     journal = {Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization},
     year = {2021},
     volume = {9},
     pages = {510 - 522},
     doi = {https://doi.org/10.1080/21681163.2020.1870001}
   }

2020

1. JIOHS

   Classifiers fusion for improved vessel recognition with application in quantification of generalized arteriolar narrowing

   Xiaoxia Yin, Samra Irshad, and Yanchun Zhang

   Journal of Innovative Optical Health Sciences, 2020

   DOI Bib

   @article{yin2020classifiers,
     title = {Classifiers fusion for improved vessel recognition with application in quantification of generalized arteriolar narrowing},
     author = {Yin, Xiaoxia and Irshad, Samra and Zhang, Yanchun},
     journal = {Journal of Innovative Optical Health Sciences},
     volume = {13},
     number = {01},
     pages = {1950021},
     year = {2020},
     publisher = {World Scientific},
     doi = {https://doi.org/10.1142/S1793545819500214}
   }

2019

1. HISS

   Artery/vein classification of retinal vessels using classifiers fusion

   Xiaoxia Yin, Samra Irshad, and Yanchun Zhang

   Health Information Science and Systems, 2019

   DOI Bib

   @article{Yin2019ArteryveinCO,
     title = {Artery/vein classification of retinal vessels using classifiers fusion},
     author = {Yin, Xiaoxia and Irshad, Samra and Zhang, Yanchun},
     journal = {Health Information Science and Systems},
     year = {2019},
     volume = {7},
     doi = {10.1007/s13755-019-0090-4}
   }

2016

1. ISVC 2016

   Automatic optic disk segmentation in presence of disk blurring

   Samra Irshad, Xiaoxia Yin, Lucy Qing Li, and 1 more author

   In International Symposium on Visual Computing, 2016

   DOI Bib

   @inproceedings{irshad2016automatic,
     title = {Automatic optic disk segmentation in presence of disk blurring},
     author = {Irshad, Samra and Yin, Xiaoxia and Li, Lucy Qing and Salman, Umer},
     booktitle = {International Symposium on Visual Computing},
     pages = {13--23},
     year = {2016},
     organization = {Springer},
     doi = {10.1007/s13755-019-0090-4}
   }