Mostafa Jahanifar
Orcid: 0000-0001-5842-0460
According to our database1,
Mostafa Jahanifar
authored at least 35 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024
CoRR, 2024
2023
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.
Medical Image Anal., 2023
Medical Image Anal., 2023
CoRR, 2023
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge.
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
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge.
CoRR, 2022
CoRR, 2022
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.
CoRR, 2022
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
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
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
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
2019
IEEE J. Biomed. Health Informatics, 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
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