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ORCIDTalha Qaiser
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2020 – today
- 2024
[j7]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: 102997 (2024)- [j6]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: 103203 (2024) - [i14]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 abs/2406.16900 (2024) - 2023
- [j5]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): 2037-2046 (2023) - [c11]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: 479-495 - [i13]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 abs/2301.13141 (2023) - [i12]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 abs/2302.09682 (2023) - [i11]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. CoRR abs/2303.12095 (2023) - [i10]Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot:
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification. CoRR abs/2305.02032 (2023) - 2022
- [j4]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: 102480 (2022) - [j3]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): 8058 (2022) - 2021
- [c10]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: 731-740 - [c9]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: 786-796 - [i9]Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot:
Classification of COVID-19 via Homology of CT-SCAN. CoRR abs/2102.10593 (2021) - [i8]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 abs/2107.07805 (2021) - 2020
- [c8]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: 164-171 - [i7]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 abs/2008.04753 (2020)
2010 – 2019
- 2019
- [b1]Talha Qaiser:
Topology and attention in computational pathology. University of Warwick, Coventry, UK, 2019 - [j2]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: 1-14 (2019) - [j1]Talha Qaiser, Nasir M. Rajpoot:
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. IEEE Trans. Medical Imaging 38(11): 2620-2631 (2019) - [c7]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: 163-171 - [i6]Talha Qaiser, Nasir M. Rajpoot:
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. CoRR abs/1903.10762 (2019) - 2018
- [c6]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: 69-77 - [c5]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: 139-147 - [c4]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: 1058119 - [i5]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 abs/1805.03699 (2018) - [i4]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 abs/1807.08284 (2018) - [i3]Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. CoRR abs/1807.11677 (2018) - [i2]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 abs/1810.13230 (2018) - 2017
- [c3]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: 320-329 - [c2]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: 398-409 - [i1]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:
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR abs/1705.08369 (2017) - 2016
- [c1]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: 119-124
Coauthor Index
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