S M Kamrul Hasan

Affiliations: 
Rochester Institute of Technology, Rochester, NY, United States 
Area:
Medical Image Analysis, Cardiac Image Analysis, Image Segmentation, Surgical Tool Recognition
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"S M Kamrul Hasan"
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Publications

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Hasan SMK, Simon RA, Linte CA. (2023) Inpainting surgical occlusion from laparoscopic video sequences for robot-assisted interventions. Journal of Medical Imaging (Bellingham, Wash.). 10: 045002
Khanal B, Hasan SMK, Khanal B, et al. (2023) Investigating the impact of class-dependent label noise in medical image classification. Proceedings of Spie--the International Society For Optical Engineering. 12464
Hasan SMK, Linte C. (2022) STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation. Medical Image Understanding and Analysis : 26th Annual Conference, Miua 2022, Cambridge, Uk, July 27-29, 2022, Proceedings. Medical Image Understanding and Analysis (Conference) (26th : 2022 : Cambridge, England). 13413: 371-386
Hasan SMK, Linte CA. (2022) Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning. Applied Sciences (Basel, Switzerland). 12
Hasan SMK, Linte CA. (2022) Joint Segmentation and Uncertainty Estimation of Ventricular Structures from Cardiac MRI using a Bayesian CondenseUNet. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2022: 5047-5050
Hasan SMK, Linte CA. (2022) A Multi-Task Cross-Task Learning Architecture for Ad Hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation. Computing in Cardiology. 48
Hasan SMK, Linte CA. (2022) Calibration of cine MRI segmentation probability for uncertainty estimation using a multi-task cross-task learning architecture. Proceedings of Spie--the International Society For Optical Engineering. 12034
Hasan SMK, Simon RA, Linte CA. (2021) Segmentation and Removal of Surgical Instruments for Background Scene Visualization from Endoscopic / Laparoscopic Video. Proceedings of Spie--the International Society For Optical Engineering. 11598
Hasan SMK, Linte CA. (2020) CondenseUNet: A memory-efficient condensely-connected architecture for bi-ventricular blood pool and myocardium segmentation. Proceedings of Spie--the International Society For Optical Engineering. 11315
Otani NF, Dang D, Beam C, et al. (2019) Toward Quantification and Visualization of Active Stress Waves for Myocardial Biomechanical Function Assessment. Computing in Cardiology. 46
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