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Talha Qaiser

Showing results (1-10 of 17) with videos related to

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IEEE Transactions on Medical Imaging|March 26, 2019
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical ScoringTalha Qaiser, Nasir M Rajpoot
IEEE Journal of Biomedical and Health Informatics|April 6, 2023
Knowledge Distillation in Histology Landscape by Multi-Layer Features SupervisionSajid Javed, Arif Mahmood, Talha Qaiser, et al.
Medical Image Analysis|May 29, 2024
Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classificationSajid Javed, Arif Mahmood, Talha Qaiser, et al.
Medical Image Analysis|May 22, 2022
Nucleus classification in histology images using message passing networkTaimur Hassan, Sajid Javed, Arif Mahmood, et al.
Sensors (Basel, Switzerland)|October 27, 2022
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical ApplicationsRizwan Ali Naqvi, Muhammad Arsalan, Talha Qaiser, et al.
Medical Image Analysis|October 22, 2023
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology imagesRaja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 23, 2024
Dual attention model with reinforcement learning for classification of histology whole-slide imagesManahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, et al.
Medical Image Analysis|April 17, 2019
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional featuresTalha Qaiser, Yee-Wah Tsang, Daiki Taniyama, et al.
NPJ Precision Oncology|June 15, 2022
Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trialsTalha Qaiser, Ching-Yi Lee, Michel Vandenberghe, et al.
Oncotarget|November 5, 2017
Glyoxalase 1 copy number variation in patients with well differentiated gastro-entero-pancreatic neuroendocrine tumours (GEP-NET)Mingzhan Xue, Alaa Shafie, Talha Qaiser, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Medical Imaging|March 26, 2019
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical ScoringTalha Qaiser, Nasir M Rajpoot
IEEE Journal of Biomedical and Health Informatics|April 6, 2023
Knowledge Distillation in Histology Landscape by Multi-Layer Features SupervisionSajid Javed, Arif Mahmood, Talha Qaiser, et al.
Medical Image Analysis|May 29, 2024
Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classificationSajid Javed, Arif Mahmood, Talha Qaiser, et al.
Medical Image Analysis|May 22, 2022
Nucleus classification in histology images using message passing networkTaimur Hassan, Sajid Javed, Arif Mahmood, et al.
Sensors (Basel, Switzerland)|October 27, 2022
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical ApplicationsRizwan Ali Naqvi, Muhammad Arsalan, Talha Qaiser, et al.
Medical Image Analysis|October 22, 2023
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology imagesRaja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 23, 2024
Dual attention model with reinforcement learning for classification of histology whole-slide imagesManahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, et al.
Medical Image Analysis|April 17, 2019
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional featuresTalha Qaiser, Yee-Wah Tsang, Daiki Taniyama, et al.
NPJ Precision Oncology|June 15, 2022
Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trialsTalha Qaiser, Ching-Yi Lee, Michel Vandenberghe, et al.
Oncotarget|November 5, 2017
Glyoxalase 1 copy number variation in patients with well differentiated gastro-entero-pancreatic neuroendocrine tumours (GEP-NET)Mingzhan Xue, Alaa Shafie, Talha Qaiser, et al.
Pageof 2