Fakrul Islam Tushar

According to our database, Fakrul Islam Tushar authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

What limits performance of weakly supervised deep learning for chest CT classification?

Fakrul Islam Tushar, Vincent M. D'Anniballe, Geoffrey D. Rubin, Joseph Y. Lo

CoRR, 2024

2023

Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19.

Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, Ehsan Abadi, William Paul Segars, Ehsan Samei, Joseph Y. Lo

CoRR, 2023

2022

Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.

Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

BMC Medical Informatics Decis. Mak., 2022

Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT.

Fakrul Islam Tushar, Husam Nujaim, Wanyi Fu, Ehsan Abadi, Maciej A. Mazurowski, Ehsan Samei, William Paul Segars, Joseph Y. Lo

CoRR, 2022

Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT.

Fakrul Islam Tushar, Vincent M. D'Anniballe, Geoffrey D. Rubin, Ehsan Samei, Joseph Y. Lo

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography.

Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael B. Fricks, Maciej A. Mazurowski, William Paul Segars, Ehsan Samei, Joseph Y. Lo

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning.

Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

CoRR, 2021

2020

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans.

Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo

CoRR, 2020

DSNet: Automatic dermoscopic skin lesion segmentation.

Md. Kamrul Hasan, Lavsen Dahal, Prasad N. Samarakoon, Fakrul Islam Tushar, Robert Martí

Comput. Biol. Medicine, 2020

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features.

Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Attention-guided classification of abnormalities in semi-structured computed tomography reports.

Khrystyna Faryna, Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations.

Md. Kamrul Hasan, Basel Alyafi, Fakrul Islam Tushar

CoRR, 2019

Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques.

Fakrul Islam Tushar, Basel Alyafi, Md. Kamrul Hasan, Lavsen Dahal

CoRR, 2019

Classification of chest CT using case-level weak supervision.

Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis.

Md. Kamrul Hasan, Fakrul Islam Tushar

CoRR, 2018

Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space.

Fakrul Islam Tushar

CoRR, 2018