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EJNMMI Research
|
November 5, 2024
An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body <sup>68</sup>Ga- DOTATATE PET/CT
Fahmida Haque, Jorge A Carrasquillo, Evrim B Turkbey, et al.
Diagnostics (Basel, Switzerland)
|
May 13, 2026
Artificial Intelligence-Based Approach for Automated Gonad Volume Quantification Using Magnetic Resonance Imaging in Healthy Adolescents Across Puberty
Fahmida Haque, Stephanie A Harmon, Allison Kumnick, et al.
Diagnostics (Basel, Switzerland)
|
January 21, 2023
A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
Fahmida Haque, Mamun B I Reaz, Muhammad E H Chowdhury, et al.
Plos One
|
January 24, 2025
Investigating the functional and structural effect of non-synonymous single nucleotide polymorphisms in the cytotoxic T-lymphocyte antigen-4 gene: An in-silico study
Md Mostafa Kamal, Kazi Fahmida Haque Shantanu, Shamiha Tabassum Teeya, et al.
Plos One
|
March 10, 2025
Correction: Investigating the functional and structural effect of non-synonymous single nucleotide polymorphisms in the cytotoxic T-lymphocyte antigen-4 gene: An in-silico study
Md Mostafa Kamal, Kazi Fahmida Haque Shantanu, Shamiha Tabassum Teeya, et al.
Computers in Biology and Medicine
|
March 24, 2025
Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts
Fahmida Haque, Alex Chen, Nathan Lay, et al.
Molecular Diversity
|
October 30, 2023
WGS-based screening of the co-chaperone protein DjlA-induced curved DNA binding protein A (CbpA) from a new multidrug-resistant zoonotic mastitis-causing Klebsiella pneumoniae strain: a novel molecular target of selective flavonoids
Mohammad Habibur Rahman, Salauddin Al Azad, Mohammad Fahim Uddin, et al.
Artificial Intelligence in Medicine
|
May 10, 2025
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach
Md Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, et al.
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Search research articles
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Showing results (21-30 of 28) with videos related to
Sort By:
Page
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You have reached the last page of results.
This site can display upto 28 results.
EJNMMI Research
|
November 5, 2024
An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body <sup>68</sup>Ga- DOTATATE PET/CT
Fahmida Haque, Jorge A Carrasquillo, Evrim B Turkbey, et al.
Diagnostics (Basel, Switzerland)
|
May 13, 2026
Artificial Intelligence-Based Approach for Automated Gonad Volume Quantification Using Magnetic Resonance Imaging in Healthy Adolescents Across Puberty
Fahmida Haque, Stephanie A Harmon, Allison Kumnick, et al.
Diagnostics (Basel, Switzerland)
|
January 21, 2023
A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
Fahmida Haque, Mamun B I Reaz, Muhammad E H Chowdhury, et al.
Plos One
|
January 24, 2025
Investigating the functional and structural effect of non-synonymous single nucleotide polymorphisms in the cytotoxic T-lymphocyte antigen-4 gene: An in-silico study
Md Mostafa Kamal, Kazi Fahmida Haque Shantanu, Shamiha Tabassum Teeya, et al.
Plos One
|
March 10, 2025
Correction: Investigating the functional and structural effect of non-synonymous single nucleotide polymorphisms in the cytotoxic T-lymphocyte antigen-4 gene: An in-silico study
Md Mostafa Kamal, Kazi Fahmida Haque Shantanu, Shamiha Tabassum Teeya, et al.
Computers in Biology and Medicine
|
March 24, 2025
Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts
Fahmida Haque, Alex Chen, Nathan Lay, et al.
Molecular Diversity
|
October 30, 2023
WGS-based screening of the co-chaperone protein DjlA-induced curved DNA binding protein A (CbpA) from a new multidrug-resistant zoonotic mastitis-causing Klebsiella pneumoniae strain: a novel molecular target of selective flavonoids
Mohammad Habibur Rahman, Salauddin Al Azad, Mohammad Fahim Uddin, et al.
Artificial Intelligence in Medicine
|
May 10, 2025
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach
Md Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, et al.
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