Navid Alemi
Navid Alemi
Paige AI, NYC, US
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Cited by
Cited by
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
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
Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images
Y Zhou, S Graham, N Alemi Koohbanani, M Shaban, PA Heng, N Rajpoot
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Context-aware learning using transferable features for classification of breast cancer histology images
R Awan, NA Koohbanani, M Shaban, A Lisowska, N Rajpoot
International conference image analysis and recognition, 788-795, 2018
Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification
J Gamper, NA Koohbanani, K Benet, A Khuram, N Rajpoot
European Congress on Digital Pathology, 11-19, 2019
Cellular community detection for tissue phenotyping in colorectal cancer histology images
S Javed, A Mahmood, MM Fraz, NA Koohbanani, K Benes, YW Tsang, ...
Medical image analysis 63, 101696, 2020
Pannuke dataset extension, insights and baselines
J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ...
arXiv preprint arXiv:2003.10778, 2020
Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations
NA Koohbanani, M Jahanifar, NZ Tajeddin, A Gooya, N Rajpoot
arXiv preprint arXiv:1809.10243, 2018
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
Nuclear instance segmentation using a proposal-free spatially aware deep learning framework
NA Koohbanani, M Jahanifar, A Gooya, N Rajpoot
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
NA Koohbanani, B Unnikrishnan, SA Khurram, P Krishnaswamy, ...
IEEE Transactions on Medical Imaging, 2021
NuClick: a deep learning framework for interactive segmentation of microscopic images
NA Koohbanani, M Jahanifar, NZ Tajadin, N Rajpoot
Medical Image Analysis 65, 101771, 2020
Nuclei detection using mixture density networks
NA Koohababni, M Jahanifar, A Gooya, N Rajpoot
International Workshop on Machine Learning in Medical Imaging, 241-248, 2018
Tracking and diameter estimation of retinal vessels using Gaussian process and Radon transform
ME Asl, NA Koohbanani, AF Frangi, A Gooya
Journal of Medical Imaging 4 (3), 034006, 2017
Nuclick: From clicks in the nuclei to nuclear boundaries
M Jahanifar, NA Koohbanani, N Rajpoot
arXiv preprint arXiv:1909.03253, 2019
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
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
M Jahanifar, NZ Tajeddin, NA Koohbanani, NM Rajpoot
Proceedings of the IEEE/CVF International Conference on Computer Vision, 674-683, 2021
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
J Gamper, NA Kooohbanani, N Rajpoot
arXiv preprint arXiv:2005.08645, 2020
A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs
HM AlGhamdiă, NA Koohbanani, N Rajpoot, SEA Raza
MICCAI Workshop on Computational Pathology, 10-19, 2021
Working with Scarce Annotations in Computational Pathology
NA Koohbanani
University of Warwick, 2020
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