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Disambiguation of "Hasan, S. M. Kamrul"

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Toward Quantification and Visualization of Active Stress Waves for Myocardial Biomechanical Function Assessment.

, , , , , , , , , and . CinC, page 1-4. IEEE, (2019)

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M S Perzanowski

M S Khan

M S Jenny

Rahul M S

Kamrul Islam

 

Other publications of authors with the same name

Segmentation and removal of surgical instruments for background scene visualization from endoscopic/laparoscopic video., , and . Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Calibration of cine MRI segmentation probability for uncertainty estimation using a multi-task cross-task learning architecture., and . Image-Guided Procedures, volume 12034 of SPIE Proceedings, SPIE, (2022)Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration Framework., , , , , , and . EMBC, page 3795-3799. IEEE, (2021)L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI., and . CoRR, (2020)STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation., and . MIUA, volume 13413 of Lecture Notes in Computer Science, page 371-386. Springer, (2022)A Multi-Task Cross-Task Learning Architecture for Ad Hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation., and . CinC, page 1-4. IEEE, (2021)L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI., and . EMBC, page 1217-1220. IEEE, (2020)Joint Segmentation and Uncertainty Estimation of Ventricular Structures from Cardiac MRI using a Bayesian CondenseUNet., and . EMBC, page 5047-5050. IEEE, (2022)CondenseUNet: a memory-efficient condensely-connected architecture for bi-ventricular blood pool and myocardium segmentation., and . Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 113151J. SPIE, (2020)Application of Heuristic MMKP in Admission Control and QoS Adaptation for Distributed Video on Demand Service., , , , and . DMS, page 234-240. Knowledge Systems Institute, (2005)