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Najah Alsubaie

Showing results (1-10 of 21) with videos related to

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Computer Methods and Programs in Biomedicine|July 1, 2025
HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression dataSajid Naveed, Mujtaba Husnain, Najah Alsubaie
Computers in Biology and Medicine|January 22, 2026
HybridDeepSynergy: A hybrid deep learning model integrating CNN, LSTM, and attention mechanisms for cancer drug synergy predictionSajid Naveed, Mujtaba Husnain, Najah Alsubaie
Plos One|July 2, 2026
Deep learning based two-way feature depiction model for brain tumor detectionShabana Urooj, Kiran Napte, Najah Alsubaie
Computer Methods and Programs in Biomedicine|June 29, 2022
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learningHanan Aljuaid, Nazik Alturki, Najah Alsubaie, et al.
The Prostate|January 4, 2024
Distribution of neurovascular structures within the prostate gland and their relationship to complications after radical prostatectomyGhazi Alanazi, Najah Alsubaie, Ghulam Nabi, et al.
Plos One|January 12, 2017
Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour RepresentationNajah Alsubaie, Nicholas Trahearn, Shan E Ahmed Raza, et al.
Life (Basel, Switzerland)|November 25, 2023
Enhancing Sumoylation Site Prediction: A Deep Neural Network with Discriminative FeaturesSalman Khan, Mukhtaj Khan, Nadeem Iqbal, et al.
Scientific Reports|October 25, 2024
Design & development of adulteration detection system by fumigation method & machine learning techniquesUrvashi Agrawal, Narendra Bawane, Najah Alsubaie, et al.
Diagnostics (Basel, Switzerland)|October 14, 2023
Use of a Novel Deep Learning Open-Source Model for Quantification of Ki-67 in Breast Cancer Patients in Pakistan: A Comparative Study between the Manual and Automated MethodsTalat Zehra, Nazish Jaffar, Mahin Shams, et al.
Cancers|August 12, 2022
A Novel Deep Learning-Based Mitosis Recognition Approach and Dataset for Uterine Leiomyosarcoma HistopathologyTalat Zehra, Sharjeel Anjum, Tahir Mahmood, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Computer Methods and Programs in Biomedicine|July 1, 2025
HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression dataSajid Naveed, Mujtaba Husnain, Najah Alsubaie
Computers in Biology and Medicine|January 22, 2026
HybridDeepSynergy: A hybrid deep learning model integrating CNN, LSTM, and attention mechanisms for cancer drug synergy predictionSajid Naveed, Mujtaba Husnain, Najah Alsubaie
Plos One|July 2, 2026
Deep learning based two-way feature depiction model for brain tumor detectionShabana Urooj, Kiran Napte, Najah Alsubaie
Computer Methods and Programs in Biomedicine|June 29, 2022
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learningHanan Aljuaid, Nazik Alturki, Najah Alsubaie, et al.
The Prostate|January 4, 2024
Distribution of neurovascular structures within the prostate gland and their relationship to complications after radical prostatectomyGhazi Alanazi, Najah Alsubaie, Ghulam Nabi, et al.
Plos One|January 12, 2017
Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour RepresentationNajah Alsubaie, Nicholas Trahearn, Shan E Ahmed Raza, et al.
Life (Basel, Switzerland)|November 25, 2023
Enhancing Sumoylation Site Prediction: A Deep Neural Network with Discriminative FeaturesSalman Khan, Mukhtaj Khan, Nadeem Iqbal, et al.
Scientific Reports|October 25, 2024
Design & development of adulteration detection system by fumigation method & machine learning techniquesUrvashi Agrawal, Narendra Bawane, Najah Alsubaie, et al.
Diagnostics (Basel, Switzerland)|October 14, 2023
Use of a Novel Deep Learning Open-Source Model for Quantification of Ki-67 in Breast Cancer Patients in Pakistan: A Comparative Study between the Manual and Automated MethodsTalat Zehra, Nazish Jaffar, Mahin Shams, et al.
Cancers|August 12, 2022
A Novel Deep Learning-Based Mitosis Recognition Approach and Dataset for Uterine Leiomyosarcoma HistopathologyTalat Zehra, Sharjeel Anjum, Tahir Mahmood, et al.
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