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Shan-e-Ahmed Raza

Showing results (11-20 of 45) with videos related to

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Frontiers in Oncology|November 5, 2019
Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma HistopathologyKonstantinos Zormpas-Petridis, Henrik Failmezger, Shan E Ahmed Raza, et al.
Biodata Mining|March 8, 2016
Robust normalization protocols for multiplexed fluorescence bioimage analysisShan E Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, et al.
Medical Image Analysis|March 5, 2024
Mitosis detection, fast and slow: Robust and efficient detection of mitotic figuresMostafa Jahanifar, Adam Shephard, Neda Zamanitajeddin, et al.
Medical Image Analysis|November 21, 2022
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classificationSimon Graham, Quoc Dang Vu, Mostafa Jahanifar, et al.
Medical Image Analysis|September 28, 2019
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology imagesSimon Graham, Quoc Dang Vu, Shan E Ahmed Raza, et al.
Medical Image Analysis|December 24, 2018
Micro-Net: A unified model for segmentation of various objects in microscopy imagesShan E Ahmed Raza, Linda Cheung, Muhammad Shaban, et al.
IEEE Transactions on Medical Imaging|February 11, 2016
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology ImagesKorsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, et al.
Plos One|February 25, 2012
RAMTaB: robust alignment of multi-tag bioimagesShan-e-Ahmed Raza, Ahmad Humayun, Sylvie Abouna, et al.
The Journal of Pathology|January 27, 2023
Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancerRawan Albusayli, J Dinny Graham, Nirmala Pathmanathan, et al.
Computers in Biology and Medicine|May 1, 2025
CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patternsArwa Al-Rubaian, Gozde N Gunesli, Wajd A Althakfi, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
Frontiers in Oncology|November 5, 2019
Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma HistopathologyKonstantinos Zormpas-Petridis, Henrik Failmezger, Shan E Ahmed Raza, et al.
Biodata Mining|March 8, 2016
Robust normalization protocols for multiplexed fluorescence bioimage analysisShan E Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, et al.
Medical Image Analysis|March 5, 2024
Mitosis detection, fast and slow: Robust and efficient detection of mitotic figuresMostafa Jahanifar, Adam Shephard, Neda Zamanitajeddin, et al.
Medical Image Analysis|November 21, 2022
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classificationSimon Graham, Quoc Dang Vu, Mostafa Jahanifar, et al.
Medical Image Analysis|September 28, 2019
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology imagesSimon Graham, Quoc Dang Vu, Shan E Ahmed Raza, et al.
Medical Image Analysis|December 24, 2018
Micro-Net: A unified model for segmentation of various objects in microscopy imagesShan E Ahmed Raza, Linda Cheung, Muhammad Shaban, et al.
IEEE Transactions on Medical Imaging|February 11, 2016
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology ImagesKorsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, et al.
Plos One|February 25, 2012
RAMTaB: robust alignment of multi-tag bioimagesShan-e-Ahmed Raza, Ahmad Humayun, Sylvie Abouna, et al.
The Journal of Pathology|January 27, 2023
Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancerRawan Albusayli, J Dinny Graham, Nirmala Pathmanathan, et al.
Computers in Biology and Medicine|May 1, 2025
CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patternsArwa Al-Rubaian, Gozde N Gunesli, Wajd A Althakfi, et al.
Pageof 5