Navid Alemi Koohbanani

According to our database, Navid Alemi Koohbanani authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi

IEEE J. Biomed. Health Informatics, March, 2024

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, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi

CoRR, 2023

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

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

2022

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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

Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input.

Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Working with scarce annotations in computational pathology.

Navid Alemi Koohbanani

PhD thesis, 2020

A Multi-Organ Nucleus Segmentation Challenge.

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

IEEE Trans. Medical Imaging, 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

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 Microscopy Images.

Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, 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

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

2019

NuClick: From Clicks in the Nuclei to Nuclear Boundaries.

Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir M. Rajpoot

CoRR, 2019

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

Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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

Proceedings of the Digital Pathology - 15th European Congress, 2019

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, Nasir M. Rajpoot, Joel H. Saltz

CoRR, 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

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.

Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban, Jevgenij Gamper, Nasir M. Rajpoot

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Nuclei Detection Using Mixture Density Networks.

Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

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

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018