Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space. - Fakrul Islam Tushar (CoRR, 2018)

Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis. - Md. Kamrul Hasan 002; Fakrul Islam Tushar (CoRR, 2018)

Classification of chest CT using case-level weak supervision. - Ruixiang Tang; Fakrul Islam Tushar; Songyue Han; Rui Hou 002; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques. - Fakrul Islam Tushar; Basel Alyafi; Md. Kamrul Hasan 002; Lavsen Dahal (CoRR, 2019)

Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations. - Md. Kamrul Hasan 002; Basel Alyafi; Fakrul Islam Tushar (CoRR, 2019)

Attention-guided classification of abnormalities in semi-structured computed tomography reports. - Khrystyna Faryna; Fakrul Islam Tushar; Vincent M. D'Anniballe; Rui Hou 002; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 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 002; Maciej A. Mazurowski; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

DSNet: Automatic dermoscopic skin lesion segmentation. - Md. Kamrul Hasan 002; Lavsen Dahal; Prasad N. Samarakoon; Fakrul Islam Tushar; Robert Martí (Comput. Biol. Medicine, 2020)

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. - Fakrul Islam Tushar; Vincent M. D'Anniballe; Rui Hou 002; Maciej A. Mazurowski; Wanyi Fu; Ehsan Samei; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2020)

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)

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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 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)

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)

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)

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)

AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets. - Fakrul Islam Tushar; Avivah Wang; Lavsen Dahal; Michael R. Harowicz; Kyle J. Lafata; Tina D. Tailor; Joseph Y. Lo (CoRR, 2024)

XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; Joseph Y. Lo; et al. (CoRR, 2024)

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification. - Fakrul Islam Tushar (CoRR, 2024)

Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT. - Yuqi Wang; Aarzu Gupta; Fakrul Islam Tushar; Breylon Riley; Avivah Wang; Tina D. Tailor; Stacy L. Tantum; Jian-Guo Liu; Mustafa R. Bashir; Joseph Y. Lo; Kyle J. Lafata (Artif. Intell. Medicine, 2025)

XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Liesbeth Vancoillie; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; et al. (Medical Image Anal., 2025)

Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. - Fakrul Islam Tushar; Liesbeth Vancoillie; Cindy McCabe; Amareswararao Kavuri; Lavsen Dahal; Brian P. Harrawood; Milo Fryling; Mojtaba Zarei; Saman Sotoudeh-Paima; Fong Chi Ho; Dhrubajyoti Ghosh; Michael R. Harowicz; et al. (Medical Image Anal., 2025)

SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training. - Fakrul Islam Tushar; Lavsen Dahal; Cindy McCabe; Fong Chi Ho; Paul Segars; Ehsan Abadi; Kyle J. Lafata; Ehsan Samei; Joseph Y. Lo (CoRR, 2025)

Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems. - Michael E. Garcia-Alcoser; Mobina Ghojogh Nejad; Fakrul Islam Tushar; David Kim; Kyle J. Lafata; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2025)