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Farhan Akram

Showing results (11-20 of 20) with videos related to

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Diagnostics (Basel, Switzerland)|January 8, 2023
Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological ImagesMd Mostafa Kamal Sarker, Farhan Akram, Mohammad Alsharid, et al.
Mediastinum (Hong Kong, China)|October 16, 2025
Artificial intelligence for diagnosis and prognosis of thymic epithelial tumors: a systematic reviewAnna Salut Esteve Domínguez, Marlou Dimmers, Ties A Mulders, et al.
Cancers|September 28, 2023
Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic ReviewFarbod Khoraminia, Saul Fuster, Neel Kanwal, et al.
International Journal of Cardiology|January 22, 2023
SPECT and STE: Which one is better in incremental prognostic value over CCTAAo-Ling Yang, Li Li, Zhao-Hui Zhang, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|October 1, 2019
Automated grading of acne vulgaris by deep learning with convolutional neural networksZiying Vanessa Lim, Farhan Akram, Cuong Phuc Ngo, et al.
Plos One|October 5, 2020
Exploring MRI based radiomics analysis of intratumoral spatial heterogeneity in locally advanced nasopharyngeal carcinoma treated with intensity modulated radiotherapyFarhan Akram, Ping En Koh, Fuqiang Wang, et al.
NPJ Digital Medicine|July 3, 2026
Predicting response to neoadjuvant therapy using artificial intelligence on digitized histopathology slides: a systematic reviewSoogyeong Shin, Koen Kwakkenbos, Denise E Hilling, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|May 9, 2025
Deep Learning-Based Retinoblastoma Protein Subtyping of Pulmonary Large-Cell Neuroendocrine Carcinoma on Small Hematoxylin and Eosin-Stained SpecimensTeodora E Trandafir, Frank W J Heijboer, Farhan Akram, et al.
Histopathology|July 2, 2024
Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin-eosin-stained tissue slidesFarhan Akram, Daniël P de Bruyn, Quincy C C van den Bosch, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|June 16, 2026
Pulmonary Neuroendocrine Tumor Artificial Intelligence-Assisted Prediction of Postoperative Recurrence from Tumor Biopsy SpecimensFarhan Akram, Teodora E Trandafir, Tijmen J J van Weert, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Diagnostics (Basel, Switzerland)|January 8, 2023
Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological ImagesMd Mostafa Kamal Sarker, Farhan Akram, Mohammad Alsharid, et al.
Mediastinum (Hong Kong, China)|October 16, 2025
Artificial intelligence for diagnosis and prognosis of thymic epithelial tumors: a systematic reviewAnna Salut Esteve Domínguez, Marlou Dimmers, Ties A Mulders, et al.
Cancers|September 28, 2023
Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic ReviewFarbod Khoraminia, Saul Fuster, Neel Kanwal, et al.
International Journal of Cardiology|January 22, 2023
SPECT and STE: Which one is better in incremental prognostic value over CCTAAo-Ling Yang, Li Li, Zhao-Hui Zhang, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|October 1, 2019
Automated grading of acne vulgaris by deep learning with convolutional neural networksZiying Vanessa Lim, Farhan Akram, Cuong Phuc Ngo, et al.
Plos One|October 5, 2020
Exploring MRI based radiomics analysis of intratumoral spatial heterogeneity in locally advanced nasopharyngeal carcinoma treated with intensity modulated radiotherapyFarhan Akram, Ping En Koh, Fuqiang Wang, et al.
NPJ Digital Medicine|July 3, 2026
Predicting response to neoadjuvant therapy using artificial intelligence on digitized histopathology slides: a systematic reviewSoogyeong Shin, Koen Kwakkenbos, Denise E Hilling, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|May 9, 2025
Deep Learning-Based Retinoblastoma Protein Subtyping of Pulmonary Large-Cell Neuroendocrine Carcinoma on Small Hematoxylin and Eosin-Stained SpecimensTeodora E Trandafir, Frank W J Heijboer, Farhan Akram, et al.
Histopathology|July 2, 2024
Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin-eosin-stained tissue slidesFarhan Akram, Daniël P de Bruyn, Quincy C C van den Bosch, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|June 16, 2026
Pulmonary Neuroendocrine Tumor Artificial Intelligence-Assisted Prediction of Postoperative Recurrence from Tumor Biopsy SpecimensFarhan Akram, Teodora E Trandafir, Tijmen J J van Weert, et al.
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