Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images. - Ruqayya Awan; Navid Alemi Koohbanani; Muhammad Shaban; Anna Lisowska; Nasir M. Rajpoot (ICIAR, 2018)

Nuclei Detection Using Mixture Density Networks. - Navid Alemi Koohbanani; Mostafa Jahanifar; Ali Gooya; Nasir M. Rajpoot (MLMI@MICCAI, 2018)

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. - Navid Alemi Koohbanani; Talha Qaiser; Muhammad Shaban; Jevgenij Gamper; Nasir M. Rajpoot (COMPAY/OMIA@MICCAI, 2018)

Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images. - Navid Alemi Koohbanani; Mostafa Jahanifar; Neda Zamani Tajeddin; Ali Gooya; Nasir M. Rajpoot (CoRR, 2018)

Methods for Segmentation and Classification of Digital Microscopy Tissue Images. - 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; et al. (CoRR, 2018)

PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification. - Jevgenij Gamper; Navid Alemi Koohbanani; Ksenija Benet; Ali Khuram; Nasir M. Rajpoot (ECDP, 2019)

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. - Yanning Zhou 001; Simon Graham; Navid Alemi Koohbanani; Muhammad Shaban; Pheng-Ann Heng; Nasir M. Rajpoot (ICCV Workshops, 2019)

Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework. - Navid Alemi Koohbanani; Mostafa Jahanifar; Ali Gooya; Nasir M. Rajpoot (MICCAI (1), 2019)

NuClick: From Clicks in the Nuclei to Nuclear Boundaries. - Mostafa Jahanifar; Navid Alemi Koohbanani; Nasir M. Rajpoot (CoRR, 2019)

PanNuke Dataset Extension, Insights and Baselines. - Jevgenij Gamper; Navid Alemi Koohbanani; Simon Graham; Mostafa Jahanifar; Syed Ali Khurram; Ayesha Azam; Katherine Hewitt; Nasir M. Rajpoot (CoRR, 2020)

Multi-Task Learning in Histo-pathology for Widely Generalizable Model. - Jevgenij Gamper; Navid Alemi Koohbanani; Nasir M. Rajpoot (CoRR, 2020)

NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images. - Navid Alemi Koohbanani; Mostafa Jahanifar; Neda Zamani Tajadin; Nasir M. Rajpoot (CoRR, 2020)

Cellular community detection for tissue phenotyping in colorectal cancer histology images. - 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 (Medical Image Anal., 2020)

NuClick: A deep learning framework for interactive segmentation of microscopic images. - Navid Alemi Koohbanani; Mostafa Jahanifar; Neda Zamani Tajadin; Nasir M. Rajpoot (Medical Image Anal., 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Working with scarce annotations in computational pathology. - Navid Alemi Koohbanani (2020)

A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs. - Hammam M. AlGhamdia; Navid Alemi Koohbanani; Nasir M. Rajpoot; Shan E Ahmed Raza (COMPAY@MICCAI, 2021)

Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. - Mostafa Jahanifar; Neda Zamani Tajeddin; Navid Alemi Koohbanani; Nasir M. Rajpoot (ICCVW, 2021)

Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. - Navid Alemi Koohbanani; Balagopal Unnikrishnan; Syed Ali Khurram; Pavitra Krishnaswamy; Nasir M. Rajpoot (IEEE Trans. Medical Imaging, 2021)

Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. - Lucy Godson; Navid Alemi Koohbanani; Jeremie Nsengimana; Graham P. Cook; Emily L. Clarke; Darren Treanor; D. Timothy Bishop; Julia Newton-Bishop; Ali Gooya (MIDL, 2022)

Multi-level Graph Representations of Melanoma Whole Slide Images for Identifying Immune Subgroups. - Lucy Godson; Navid Alemi Koohbanani; Jeremie Nsengimana; Graham P. Cook; Emily L. Clarke; Darren Treanor; D. Timothy Bishop; Julia Newton-Bishop; Derek R. Magee (GRAIL/OCELOT@MICCAI, 2023)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - 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; et al. (CoRR, 2023)

Immune subtyping of melanoma whole slide images using multiple instance learning. - 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 (Medical Image Anal., 2024)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - 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; et al. (IEEE J. Biomed. Health Informatics, 2024)