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ORCIDNavid Alemi Koohbanani
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2020 – today
- 2024
[j6]Lucy Godson
, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya, Derek R. Magee:
Immune subtyping of melanoma whole slide images using multiple instance learning. Medical Image Anal. 93: 103097 (2024)- [j5]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28(3): 1161-1172 (2024) - 2023
- [c10]Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Derek R. Magee:
Multi-level Graph Representations of Melanoma Whole Slide Images for Identifying Immune Subgroups. GRAIL/OCELOT@MICCAI 2023: 85-96 - [i13]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR abs/2301.06304 (2023) - 2022
- [c9]Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya:
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. MIDL 2022: 423-440 - [i12]Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya:
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. CoRR abs/2202.11524 (2022) - 2021
- [j4]Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. IEEE Trans. Medical Imaging 40(10): 2845-2856 (2021) - [c8]Hammam M. AlGhamdia, Navid Alemi Koohbanani, Nasir M. Rajpoot, Shan E Ahmed Raza:
A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs. COMPAY@MICCAI 2021: 10-19 - [c7]Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. ICCVW 2021: 674-683 - [i11]Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. CoRR abs/2108.13368 (2021) - 2020
- [b1]Navid Alemi Koohbanani:
Working with scarce annotations in computational pathology. University of Warwick, Coventry, UK, 2020 - [j3]Sajid Javed, Arif Mahmood, Muhammad Moazam Fraz, Navid Alemi Koohbanani, Ksenija Benes, Yee-Wah Tsang, Katherine Hewitt, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot:
Cellular community detection for tissue phenotyping in colorectal cancer histology images. Medical Image Anal. 63: 101696 (2020) - [j2]Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot:
NuClick: A deep learning framework for interactive segmentation of microscopic images. Medical Image Anal. 65: 101771 (2020) - [j1]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [i10]Jevgenij Gamper, Navid Alemi Koohbanani, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir M. Rajpoot:
PanNuke Dataset Extension, Insights and Baselines. CoRR abs/2003.10778 (2020) - [i9]Jevgenij Gamper, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Multi-Task Learning in Histo-pathology for Widely Generalizable Model. CoRR abs/2005.08645 (2020) - [i8]Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot:
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images. CoRR abs/2005.14511 (2020) - [i7]Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. CoRR abs/2008.05571 (2020)
2010 – 2019
- 2019
- [c6]Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benet, Ali Khuram, Nasir M. Rajpoot:
PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification. ECDP 2019: 11-19 - [c5]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. ICCV Workshops 2019: 388-398 - [c4]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework. MICCAI (1) 2019: 622-630 - [i6]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1909.01068 (2019) - [i5]Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir M. Rajpoot:
NuClick: From Clicks in the Nuclei to Nuclear Boundaries. CoRR abs/1909.03253 (2019) - 2018
- [c3]Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot:
Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images. ICIAR 2018: 788-795 - [c2]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 - [c1]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. MLMI@MICCAI 2018: 241-248 - [i4]Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot:
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images. CoRR abs/1803.00386 (2018) - [i3]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. CoRR abs/1808.08279 (2018) - [i2]Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot:
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images. CoRR abs/1809.10243 (2018) - [i1]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)
Coauthor Index
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