Talha Qaiser

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Tumor Segmentation

Multiple Instance

Image Classification

Top Venues

Medical Image Anal.

COMPAY/OMIA@MICCAI

Publications

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
Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation. CoRR (2024)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images. Medical Image Anal. 91 (2024)
Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification. Medical Image Anal. 96 (2024)
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
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. MIDL (2023)
Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi
Knowledge Distillation in Histology Landscape by Multi-Layer Features Supervision. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Ricardo Mokhtari, Azam Hamidinekoo, Daniel Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pal Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. CoRR (2023)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan e Ahmed Raza, Nasir M. Rajpoot
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images. CoRR (2023)
Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images. CoRR (2023)
Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification. CoRR (2023)
Taimur Hassan, Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
Nucleus classification in histology images using message passing network. Medical Image Anal. 79 (2022)
Rizwan Ali Naqvi, Muhammad Arsalan, Talha Qaiser, Tariq Mahmood Khan, Imran Razzak
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications. Sensors 22 (20) (2022)
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
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. MICCAI (7) (2021)
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
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. CoRR (2021)
Jia-Ren Chang, Ching-Yi Lee, Chi-Chung Chen, Joachim Reischl, Talha Qaiser, Chao-Yuan Yeh
Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images. MICCAI (5) (2021)
Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot
Classification of COVID-19 via Homology of CT-SCAN. CoRR (2021)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan e Ahmed Raza, Nasir M. Rajpoot
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. CoRR (2020)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan-e-Ahmed Raza, Nasir M. Rajpoot
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Talha Qaiser, Nasir M. Rajpoot
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. IEEE Trans. Medical Imaging 38 (11) (2019)
Talha Qaiser, Nasir M. Rajpoot
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. CoRR (2019)
Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features. Medical Image Anal. 55 (2019)
Talha Qaiser, Matthew Pugh, Sandra Margielewska, Robert Hollows, Paul Murray, Nasir M. Rajpoot
Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma. ECDP (2019)
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
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR (2018)
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. CoRR (2018)
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. COMPAY/OMIA@MICCAI (2018)
Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban, Jevgenij Gamper, Nasir M. Rajpoot
Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. COMPAY/OMIA@MICCAI (2018)
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
Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR (2018)
Simon Graham, Muhammad Shaban, Talha Qaiser, Syed Ali Khurram, Nasir M. Rajpoot
Classification of lung cancer histology images using patch-level summary statistics. Medical Imaging: Digital Pathology (2018)
Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features. CoRR (2018)
Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar
Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification. MIUA (2017)
Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas 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
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR (2017)
Talha Qaiser, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot
Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features. MIUA (2017)
Talha Qaiser, Korsuk Sirinukunwattana, Kazuaki Nakane, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot
Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images. MIUA (2016)