Fakrul Islam Tushar

Orcid: 0000-0001-7180-563X

According to our database1, Fakrul Islam Tushar authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans.
CoRR, 2024

AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets.
CoRR, 2024

What limits performance of weakly supervised deep learning for chest CT classification?
CoRR, 2024

2023
Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19.
CoRR, 2023

2022
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.
BMC Medical Informatics Decis. Mak., 2022

Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT.
CoRR, 2022

Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT.
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.
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.
CoRR, 2021

2020
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans.
CoRR, 2020

DSNet: Automatic dermoscopic skin lesion segmentation.
Comput. Biol. Medicine, 2020

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Attention-guided classification of abnormalities in semi-structured computed tomography reports.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations.
CoRR, 2019

Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques.
CoRR, 2019

Classification of chest CT using case-level weak supervision.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis.
CoRR, 2018

Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space.
CoRR, 2018


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