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Fakrul Islam Tushar
Fakrul Islam Tushar
PhD Student at ECE, Duke University
Dirección de correo verificada de duke.edu - Página principal
Título
Citado por
Citado por
Año
DSNet: Automatic dermoscopic skin lesion segmentation
MK Hasan, L Dahal, PN Samarakoon, FI Tushar, R Martí
Computers in biology and medicine 120, 103738, 2020
1562020
Brain tissue segmentation using neuronet with different pre-processing techniques
FI Tushar, B Alyafi, MK Hasan, L Dahal
2019 Joint 8th International Conference on Informatics, Electronics & Vision …, 2019
192019
Classification of multiple diseases on body CT scans using weakly supervised deep learning
FI Tushar, VM D’Anniballe, R Hou, MA Mazurowski, W Fu, E Samei, ...
Radiology: Artificial Intelligence 4 (1), e210026, 2021
152021
Attention-guided classification of abnormalities in semi-structured computed tomography reports
K Faryna, FI Tushar, VM D'Anniballe, R Hou, GD Rubin, JY Lo
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 397-403, 2020
112020
Classification of chest CT using case-level weak supervision
R Tang, FI Tushar, S Han, R Hou, GD Rubin, JY Lo
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 303-310, 2019
92019
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning
VM D’Anniballe, FI Tushar, K Faryna, S Han, MA Mazurowski, GD Rubin, ...
BMC medical informatics and decision making 22 (1), 102, 2022
52022
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features
A Saha, FI Tushar, K Faryna, VM D'Anniballe, R Hou, MA Mazurowski, ...
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 39-44, 2020
52020
Comparative analysis of automatic skin lesion segmentation with two different implementations
MK Hasan, B Alyafi, FI Tushar
arXiv preprint arXiv:1904.03075, 2019
42019
Cyclical Learning Rates for Training Neural Networks With Unbalanced Data Sets
B Alyafi, FI Tushar, Z Toshpulatov
42018
Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography
FI Tushar, E Abadi, S Sotoudeh-Paima, RB Fricks, MA Mazurowski, ...
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 32-38, 2022
32022
Automatic skin lesion segmentation using grabcut in hsv colour space
FI Tushar
arXiv preprint arXiv:1810.00871, 2018
32018
Development of a Modular Biopotential Amplifier Trainer for Biomedical Instrumentation Laboratory Experiments
SI Khan, FI Tushar, MAI Rokan, R Chowdhury
Science Journal of Circuits, Systems and Signal Processing 7 (2), 48-59, 2018
32018
Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography
L Dahal, FI Tushar, E Abadi, RB Fricks, M Mazurowski, WP Segars, ...
Medical Imaging 2022: Physics of Medical Imaging 12031, 206-212, 2022
22022
Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT
FI Tushar, VM D'Anniballe, GD Rubin, E Samei, JY Lo
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 675-679, 2022
22022
Virtual NLST: towards replicating national lung screening trial
FI Tushar, L Vancoillie, C McCabe, A Kavuri, L Dahal, B Harrawood, ...
Medical Imaging 2024: Physics of Medical Imaging 12925, 442-447, 2024
12024
Quality or quantity: toward a unified approach for multi-organ segmentation in body CT
FI Tushar, H Nujaim, W Fu, E Abadi, MA Mazurowski, WP Segars, ...
Medical Imaging 2022: Physics of Medical Imaging 12031, 679-684, 2022
12022
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning
VM D'Anniballe, FI Tushar, K Faryna, S Han, MA Mazurowski, GD Rubin, ...
arXiv preprint arXiv:2102.02959, 2021
12021
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans
FI Tushar, VM D'Anniballe, R Hou, MA Mazurowski, W Fu, E Samei, ...
arXiv preprint, 2020
12020
Automatic skin lesion segmentation using GrabCut in HSV colour space
F Islam Tushar
arXiv e-prints, arXiv: 1810.00871, 2018
12018
Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis
MK Hasan, FI Tushar
12017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20