publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. What limits performance of weakly supervised deep learning for chest CT classification?
    Fakrul Islam Tushar, Vincent M D’Anniballe, Geoffrey D Rubin, and 1 more author
    arXiv preprint arXiv:2402.04419, 2024
  2. Virtual NLST: towards replicating national lung screening trial
    Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe, and 8 more authors
    In Medical Imaging 2024: Physics of Medical Imaging, 2024
  3. AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
    Fakrul Islam Tushar, Avivah Wang, Lavsen Dahal, and 4 more authors
    arXiv preprint arXiv:2405.04605, 2024
  4. AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
    Fakrul Islam Tushar, Avivah Wang, Lavsen Dahal, and 4 more authors
    arXiv e-prints, 2024
  5. XCAT-2.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
    Lavsen Dahal, Mobina Ghojoghnejad, Dhrubajyoti Ghosh, and 8 more authors
    arXiv preprint arXiv:2405.11133, 2024
  6. Radiomic-Demographic Data Fusion and Diagnostic Uncertainty Quantification Lead to Improved Specificity of Lung Cancers on Low Dose Screening CT
    Yuqi Wang, Fakrul Islam Tushar, Breylon Riley, and 6 more authors
    In AAPM 66th Annual Meeting & Exhibition, 2024
  7. Virtual Lung Screening Trial (VLST): An In Silico Replica of the National Lung Screening Trial for Lung Cancer Detection
    Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe, and 8 more authors
    arXiv e-prints, 2024
  8. Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
    Fakrul Islam Tushar
    arXiv preprint arXiv:2411.16008, 2024
  9. Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
    Fakrul Islam Tushar
    arXiv preprint arXiv:2411.16823, 2024
  10. 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, and 8 more authors
    Artificial Intelligence in Medicine, 2024
  11. Beyond Detection: Bridging the Gap Between Virtual Imaging Trials and Clinical Impact
    Fakrul Islam Tushar, L. Vancoillie, D. Ghosh, and 2 more authors
    In Proceedings of Virtual Imaging Trials in Medicine 2024, May 2024
    arXiv preprint arXiv:2405.05359
  12. Virtual Human Twins in Lung Health: A Comprehensive in Silico Screening Approach
    Fakrul Islam Tushar, Vancoillie Liesbeth, McCabe Cindy, and 5 more authors
    In Proceedings of the RSNA Annual Meeting 2024, May 2024
    Paper presented at the RSNA Annual Meeting 2024

2023

  1. Automatic quality control in computed tomography volumes segmentation using a small set of XCAT as reference images
    Lavsen Dahal, Yuqi Wang, Fakrul Islam Tushar, and 6 more authors
    In Medical Imaging 2023: Physics of Medical Imaging, May 2023
  2. Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19
    Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, and 4 more authors
    arXiv e-prints, May 2023
  3. Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging
    Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, and 4 more authors
    arXiv e-prints, May 2023

2022

  1. 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, and 2 more authors
    In Medical Imaging 2022: Computer-Aided Diagnosis, May 2022
  2. Quality or quantity: toward a unified approach for multi-organ segmentation in body CT
    Fakrul Islam Tushar, Husam Nujaim, Wanyi Fu, and 5 more authors
    In Medical Imaging 2022: Physics of Medical Imaging, May 2022
  3. Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography
    Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, and 5 more authors
    In Medical Imaging 2022: Computer-Aided Diagnosis, May 2022
  4. Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography
    Lavsen Dahal, Fakrul Islam Tushar, Ehsan Abadi, and 5 more authors
    In Medical Imaging 2022: Physics of Medical Imaging, May 2022
  5. 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, and 4 more authors
    BMC medical informatics and decision making, May 2022

2021

  1. Classification of multiple diseases on body CT scans using weakly supervised deep learning
    Fakrul Islam Tushar, Vincent M D’Anniballe, Rui Hou, and 5 more authors
    Radiology: Artificial Intelligence, May 2021

2020

  1. DSNet: Automatic dermoscopic skin lesion segmentation
    Md Kamrul Hasan, Lavsen Dahal, Prasad N Samarakoon, and 2 more authors
    Computers in biology and medicine, May 2020
  2. Attention-guided classification of abnormalities in semi-structured computed tomography reports
    Khrystyna Faryna, Fakrul I Tushar, Vincent M D’Anniballe, and 3 more authors
    In Medical Imaging 2020: Computer-Aided Diagnosis, May 2020
  3. Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features
    Anindo Saha, Fakrul I Tushar, Khrystyna Faryna, and 5 more authors
    In Medical Imaging 2020: Computer-Aided Diagnosis, May 2020

2019

  1. Classification of chest CT using case-level weak supervision
    Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, and 3 more authors
    In Medical Imaging 2019: Computer-Aided Diagnosis, May 2019
  2. Brain tissue segmentation using neuronet with different pre-processing techniques
    Fakrul Islam Tushar, Basel Alyafi, Md Kamrul Hasan, and 1 more author
    In 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), May 2019
  3. Comparative analysis of automatic skin lesion segmentation with two different implementations
    Md Kamrul Hasan, Basel Alyafi, and Fakrul Islam Tushar
    arXiv preprint arXiv:1904.03075, May 2019

2018

  1. Development of a Modular Biopotential Amplifier Trainer for Biomedical Instrumentation Laboratory Experiments
    Saiful Islam Khan, Fakrul Islam Tushar, Md Amirul Islam Rokan, and 1 more author
    Science Journal of Circuits, Systems and Signal Processing, May 2018
  2. Automatic skin lesion segmentation using grabcut in hsv colour space
    Fakrul Islam Tushar
    arXiv preprint arXiv:1810.00871, May 2018
  3. Cyclical Learning Rates for Training Neural Networks With Unbalanced Data Sets
    Basel Alyafi, Fakrul Islam Tushar, and Zafar Toshpulatov
    May 2018

2017

  1. Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis
    Md Kamrul Hasan, and Fakrul Islam Tushar
    May 2017