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Nasir Rajpoot

*: shared first/last authors

Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations

Aug 12, 2020
Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir Rajpoot


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SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images

Aug 11, 2020
Srijay Deshpande, Fayyaz Minhas, Simon Graham, Nasir Rajpoot


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NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images

May 29, 2020
Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir Rajpoot


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Multi-Task Learning in Histo-pathology for Widely Generalizable Model

May 09, 2020
Jevgenij Gamper, Navid Alemi Kooohbanani, Nasir Rajpoot

* AI4CC ICLR 2020 workshop 

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PanNuke Dataset Extension, Insights and Baselines

Apr 22, 2020
Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir Rajpoot

* Work in progress 

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Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images

Apr 06, 2020
Simon Graham, David Epstein, Nasir Rajpoot


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Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images

Mar 06, 2020
Jevgenij Gamper, Brandon Chan, Yee Wah Tsang, David Snead, Nasir Rajpoot

* Accepted to Medical Imaging meets NeurIPS Workshop, Conference on Neural Information Processing Systems 2019, Vancouver 

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NuClick: From Clicks in the Nuclei to Nuclear Boundaries

Sep 07, 2019
Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir Rajpoot


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CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images

Sep 03, 2019
Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir Rajpoot

* Accepted in ICCVW 2019 (Visual Recognition for Medical Images) 

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Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework

Aug 27, 2019
Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir Rajpoot


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XY Network for Nuclear Segmentation in Multi-Tissue Histology Images

Dec 16, 2018
Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Jin Tae Kwak, Nasir Rajpoot


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Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Oct 31, 2018
Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin Kurc, Keyvan Farahani, Tianhao Zhao, Rajarsi Gupta, Jin Tae Kwak, Nasir Rajpoot, Joel Saltz


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Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images

Sep 23, 2018
Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir Rajpoot


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Nuclei Detection Using Mixture Density Networks

Aug 22, 2018
Navid Alemi Koohababni, Mostafa Jahanifar, Ali Gooya, Nasir Rajpoot

* 8 pages, 3 figures 

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Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

Aug 02, 2018
Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Maadeed, Nasir Rajpoot, Mubarak Shah

* ECCV 2018 

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Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

Jul 31, 2018
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir Rajpoot

* Accepted for MICCAI COMPAY 2018 Workshop 

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

Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir 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

* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/ 

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MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images

Jun 07, 2018
Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir Rajpoot

* MIDL 2018 

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

Jun 06, 2018
Lena Maier-Hein*, Matthias Eisenmann*, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin*, Annette Kopp-Schneider*

* 48 pages, under review in Nature Methods 

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Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features

May 09, 2018
Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David Epstein, Nasir Rajpoot


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Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images

Mar 06, 2018
Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir Rajpoot


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Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer

Jan 23, 2018
Korsuk Sirinukunwattana, David Snead, David Epstein, Zia Aftab, Imaad Mujeeb, Yee Wah Tsang, Ian Cree, Nasir Rajpoot


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

Jul 24, 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 Snead, Ian Ellis, Mohammad Ilyas, Nasir Rajpoot


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