Talha Qaiser
Title
Cited by
Cited by
Year
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
13672017
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
1192019
Methods for segmentation and classification of digital microscopy tissue images
QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ...
Frontiers in bioengineering and biotechnology 7, 53, 2019
712019
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features
T Qaiser, YW Tsang, D Taniyama, N Sakamoto, K Nakane, D Epstein, ...
Medical image analysis 55, 1-14, 2019
612019
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues
T Qaiser, A Mukherjee, SD Munugoti, V Tallam, T Pitkäaho, T Lehtimäki, ...
Histopathology 72 (2), 2018
602018
Persistent homology for fast tumor segmentation in whole slide histology images
T Qaiser, K Sirinukunwattana, K Nakane, YW Tsang, D Epstein, N Rajpoot
Procedia Computer Science 90, 119-124, 2016
432016
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
T Qaiser, NM Rajpoot
IEEE transactions on medical imaging, 2019
232019
Classification of lung cancer histology images using patch-level summary statistics
S Graham, M Shaban, T Qaiser, NA Koohbanani, SA Khurram, N Rajpoot
Medical Imaging 2018: Digital Pathology 10581, 1058119, 2018
192018
Tumor segmentation in whole slide images using persistent homology and deep convolutional features
T Qaiser, YW Tsang, D Epstein, N Rajpoot
Annual Conference on Medical Image Understanding and Analysis, 320-329, 2017
192017
Leveraging unlabeled whole-slide-images for mitosis detection
SU Akram, T Qaiser, S Graham, J Kannala, J Heikkilä, N Rajpoot
Computational Pathology and Ophthalmic Medical Image Analysis, 69-77, 2018
142018
Investigating the effect of various augmentations on the input data fed to a convolutional neural network for the task of mammographic mass classification
A Hamidinekoo, Z Suhail, T Qaiser, R Zwiggelaar
Annual Conference on Medical Image Understanding and Analysis, 398-409, 2017
132017
Digital tumor-collagen proximity signature predicts survival in diffuse large B-cell lymphoma
T Qaiser, M Pugh, S Margielewska, R Hollows, P Murray, N Rajpoot
European Congress on Digital Pathology, 163-171, 2019
52019
Tumor-collagen digital proximity signature to indicate prognosis in diffuse large B-cell lymphoma.
T Qaiser, M Pugh, S Margielewska, R Hollows, P Murray, N Rajpoot
Journal of Clinical Oncology 37 (15_suppl), e19073-e19073, 2019
22019
Significance of hyperparameter optimization for metastasis detection in breast histology images
NA Koohbanani, T Qaisar, M Shaban, J Gamper, N Rajpoot
Computational Pathology and Ophthalmic Medical Image Analysis, 139-147, 2018
22018
Glyoxalase 1 copy number variation in patients with well differentiated gastro-entero-pancreatic neuroendocrine tumours (GEP-NET)
M Xue, A Shafie, T Qaiser, NM Rajpoot, G Kaltsas, S James, ...
Oncotarget 8 (44), 76961, 2017
22017
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
T Qaiser, S Winzeck, T Barfoot, T Barwick, SJ Doran, MF Kaiser, ...
arXiv preprint arXiv:2107.07805, 2021
2021
Classification of COVID-19 via Homology of CT-SCAN
S Iqbal, HF Ahmed, T Qaiser, MI Qureshi, N Rajpoot
arXiv preprint arXiv:2102.10593, 2021
2021
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
RMS Bashir, T Qaiser, SEA Raza, NM Rajpoot
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
RM Saad Bashir, T Qaiser, SEA Raza, NM Rajpoot
arXiv e-prints, arXiv: 2008.04753, 2020
2020
A Hybrid Pipeline to Assess Oestrogen Receptor Stained Nuclei in Invasive Breast Cancer
HM AlGhamdi, M Althobiti, T Qaiser, AR Green, SEA Raza, EA Rakha, ...
2019
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Articles 1–20