Talha Qaiser

According to our database, Talha Qaiser authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images.

Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot

Medical Image Anal., January, 2024

Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification.

Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot

Medical Image Anal., 2024

Stain-Invariant Representation for Tissue Classification in Histology Images.

Manahil Raza, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot

CoRR, 2024

Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations.

Piotr Kaniewski, Fariba Yousefi, Yeman Brhane Hagos, Talha Qaiser, Nikolay Burlutskiy

CoRR, 2024

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci

CoRR, 2024

Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation.

Irina Zhang, Jim Denholm, Azam Hamidinekoo, Oskar Ålund, Christopher Bagnall, Joana Palés Huix, Michal Sulikowski, Ortensia Vito, Arthur Lewis, Robert Unwin, Magnus Söderberg, Nikolay Burlutskiy, Talha Qaiser

CoRR, 2024

Dual attention model with reinforcement learning for classification of histology whole-slide images.

Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot

Comput. Medical Imaging Graph., 2024

2023

Knowledge Distillation in Histology Landscape by Multi-Layer Features Supervision.

Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi

IEEE J. Biomed. Health Informatics, April, 2023

Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images.

Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot

CoRR, 2023

Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning.

Ricardo Mokhtari, Azam Hamidinekoo, Daniel James Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pål Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications.

Rizwan Ali Naqvi, Muhammad Arsalan, Talha Qaiser, Tariq Mahmood Khan, Imran Razzak

Sensors, 2022

Nucleus classification in histology images using message passing network.

Taimur Hassan, Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot

Medical Image Anal., 2022

2021

Classification of COVID-19 via Homology of CT-SCAN.

Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot

CoRR, 2021

Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.

Talha Qaiser, Stefan Winzeck, Theodore Barfoot, Tara Barwick, Simon J. Doran, Martin F. Kaiser, Linda Wedlake, Nina Tunariu, Dow-Mu Koh, Christina Messiou, Andrea G. Rockall, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images.

Jia-Ren Chang, Ching-Yi Lee, Chi-Chung Chen, Joachim Reischl, Talha Qaiser, Chao-Yuan Yeh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification.

Raja Muhammad Saad Bashir, Talha Qaiser, Shan-E-Ahmed Raza, Nasir M. Rajpoot

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019

Topology and attention in computational pathology.

Talha Qaiser

PhD thesis, 2019

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring.

Talha Qaiser, Nasir M. Rajpoot

IEEE Trans. Medical Imaging, 2019

Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features.

Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot

Medical Image Anal., 2019

Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma.

Talha Qaiser, Matthew Pugh, Sandra Margielewska, Robert Hollows, Paul Murray, Nasir M. Rajpoot

Proceedings of the Digital Pathology - 15th European Congress, 2019

2018

Methods for Segmentation and Classification of Digital Microscopy Tissue Images.

Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin M. Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi R. Gupta, Jin Tae Kwak, Nasir M. Rajpoot, Joel H. Saltz

CoRR, 2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

CoRR, 2018

Classification of lung cancer histology images using patch-level summary statistics.

Simon Graham, Muhammad Shaban, Talha Qaiser, Syed Ali Khurram, Nasir M. Rajpoot

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.

Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban, Jevgenij Gamper, Nasir M. Rajpoot

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.

Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.

Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas J. Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David R. J. Snead, Ian O. Ellis, Mohammad Ilyas, Nasir M. Rajpoot

CoRR, 2017

Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features.

Talha Qaiser, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification.

Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016

Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images.

Talha Qaiser, Korsuk Sirinukunwattana, Kazuaki Nakane, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016