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S. M. Kamrul Hasan
Person information
- affiliation: Rochester Institute of Technology, NY, USA
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2020 – today
- 2023
- [c16]Bidur Khanal
, S. M. Kamrul Hasan, Bishesh Khanal, Cristian A. Linte:
Investigating the impact of class-dependent label noise in medical image classification. Medical Imaging: Image Processing 2023 - 2022
- [c15]S. M. Kamrul Hasan, Cristian A. Linte:
Joint Segmentation and Uncertainty Estimation of Ventricular Structures from Cardiac MRI using a Bayesian CondenseUNet. EMBC 2022: 5047-5050 - [c14]S. M. Kamrul Hasan, Cristian A. Linte:
Calibration of cine MRI segmentation probability for uncertainty estimation using a multi-task cross-task learning architecture. Medical Imaging: Image-Guided Procedures 2022 - [c13]S. M. Kamrul Hasan, Cristian A. Linte:
STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation. MIUA 2022: 371-386 - 2021
- [c12]S. M. Kamrul Hasan, Cristian A. Linte:
A Multi-Task Cross-Task Learning Architecture for Ad Hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation. CinC 2021: 1-4 - [c11]Roshan Reddy Upendra
Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration Framework. EMBC 2021: 3795-3799 - [c10]S. M. Kamrul Hasan, Richard A. Simon, Cristian A. Linte:
Segmentation and removal of surgical instruments for background scene visualization from endoscopic/laparoscopic video. Medical Imaging: Image-Guided Procedures 2021 - [i4]S. M. Kamrul Hasan, Cristian A. Linte:
A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation. CoRR abs/2109.07702 (2021) - 2020
- [c9]S. M. Kamrul Hasan, Cristian A. Linte:
L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI. EMBC 2020: 1217-1220 - [c8]S. M. Kamrul Hasan, Cristian A. Linte:
CondenseUNet: a memory-efficient condensely-connected architecture for bi-ventricular blood pool and myocardium segmentation. Medical Imaging: Image-Guided Procedures 2020: 113151J - [i3]S. M. Kamrul Hasan, Cristian A. Linte:
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation. CoRR abs/2004.02249 (2020) - [i2]S. M. Kamrul Hasan, Cristian A. Linte:
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI. CoRR abs/2004.11253 (2020)
2010 – 2019
- 2019
- [c7]Niels F. Otani, Dylan Dang, Christopher Beam, Fariba Mohammadi, Brian Wentz, S. M. Kamrul Hasan, Suzanne M. Shontz, Karl Q. Schwarz, Sabu Thomas, Cristian A. Linte:
Toward Quantification and Visualization of Active Stress Waves for Myocardial Biomechanical Function Assessment. CinC 2019: 1-4 - [c6]S. M. Kamrul Hasan, Cristian A. Linte:
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images. EMBC 2019: 7205-7211 - [i1]S. M. Kamrul Hasan, Cristian A. Linte:
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument. CoRR abs/1902.08994 (2019) - 2018
- [j5]S. M. Kamrul Hasan
Two-step verification of brain tumor segmentation using watershed-matching algorithm. Brain Informatics 5(2) (2018) - [j4]S. M. Kamrul Hasan
Correction to: Two-step verification of brain tumor segmentation using watershed-matching algorithm. Brain Informatics 5(2) (2018) - 2016
- [j3]Ruhul A. Sarker
Managing risk in production scheduling under uncertain disruption. Artif. Intell. Eng. Des. Anal. Manuf. 30(3): 289-299 (2016) - 2013
- [j2]Ruhul A. Sarker
Hybrid Evolutionary Algorithm for job scheduling under machine maintenance. Appl. Soft Comput. 13(3): 1440-1447 (2013) - 2010
- [c5]S. M. Kamrul Hasan, Ruhul A. Sarker
Evolutionary scheduling with rescheduling option for sudden machine breakdowns. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [b1]S. M. Kamrul Hasan:
Evolutionary algorithms for solving job-shop scheduling problems in the presence of process interruptions. University of New South Wales, Canberra, Australia, 2009 - [j1]S. M. Kamrul Hasan, Ruhul A. Sarker
Memetic algorithms for solving job-shop scheduling problems. Memetic Comput. 1(1): 69-83 (2009) - [p1]S. M. Kamrul Hasan, Ruhul A. Sarker, Daryl Essam, David Cornforth:
A Genetic Algorithm with Priority Rules for Solving Job-Shop Scheduling Problems. Natural Intelligence for Scheduling, Planning and Packing Problems 2009: 55-88 - 2008
- [c4]S. M. Kamrul Hasan, Ruhul A. Sarker
GA with priority rules for solving Job-Shop Scheduling Problems. IEEE Congress on Evolutionary Computation 2008: 1913-1920 - 2007
- [c3]S. M. Kamrul Hasan, Ruhul A. Sarker
Hybrid Genetic Algorithm for Solving Job-Shop Scheduling Problem. ACIS-ICIS 2007: 519-524 - [c2]S. M. Kamrul Hasan, Ruhul A. Sarker
Modified genetic algorithm for job-shop scheduling: A gap utilization technique. IEEE Congress on Evolutionary Computation 2007: 3804-3811 - 2005
- [c1]Md. Shamsul Alam, S. M. Kamrul Hasan, Abu Sayeed Md. Sohail, Md. Mahmudul Hasan, Boshir Ahmed:
Application of Heuristic MMKP in Admission Control and QoS Adaptation for Distributed Video on Demand Service. DMS 2005: 234-240
Coauthor Index
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