Mostafa Jahanifar

Orcid: 0000-0001-5842-0460

According to our database1, Mostafa Jahanifar authored at least 52 papers between 2017 and 2024.

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Bibliography

2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024

Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer.
Medical Image Anal., 2024

Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures.
Medical Image Anal., 2024

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge.
Medical Image Anal., 2024

Benchmarking Domain Generalization Algorithms in Computational Pathology.
CoRR, 2024

TIAViz: A Browser-based Visualization Tool for Computational Pathology Models.
CoRR, 2024

An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023




One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.
Medical Image Anal., 2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.
Medical Image Anal., 2023

Domain Generalization in Computational Pathology: Survey and Guidelines.
CoRR, 2023

A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.
CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

Nuclear Segmentation and Classification: On Color & Compression Generalization.
CoRR, 2023

Accurate segmentation of nuclear instances using a double-stage neural network.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022








Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge.
CoRR, 2022

TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge.
CoRR, 2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.
CoRR, 2022

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.
CoRR, 2022

Nuclear Segmentation and Classification: On Color and Compression Generalization.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

CoNIC: Colon Nuclei Identification and Counting Challenge 2022.
CoRR, 2021

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations.
CoRR, 2021

Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

NuClick: A deep learning framework for interactive segmentation of microscopic images.
Medical Image Anal., 2020

Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks.
CoRR, 2020

NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images.
CoRR, 2020

PanNuke Dataset Extension, Insights and Baselines.
CoRR, 2020

2019
Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images.
IEEE J. Biomed. Health Informatics, 2019

NuClick: From Clicks in the Nuclei to Nuclear Boundaries.
CoRR, 2019

Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images.
CoRR, 2018

Nuclei Detection Using Mixture Density Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017
Segmentation of Lesions in Dermoscopy Images Using Saliency Map And Contour Propagation.
CoRR, 2017


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