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 | 373 | 2019 |
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images NA Koohbanani, M Jahanifar, NZ Tajadin, N Rajpoot Medical Image Analysis 65, 101771, 2020 | 124 | 2020 |
Supervised saliency map driven segmentation of lesions in dermoscopic images M Jahanifar, NZ Tajeddin, BM Asl, A Gooya IEEE journal of biomedical and health informatics 23 (2), 509-518, 2018 | 74 | 2018 |
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 | 50* | 2018 |
Melanoma recognition in dermoscopy images using lesion's peripheral region information NZ Tajeddin, BM Asl Computer methods and programs in biomedicine 163, 143-153, 2018 | 47 | 2018 |
A general algorithm for automatic lesion segmentation in dermoscopy images NZ Tajeddin, BM Asl 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016 | 24 | 2016 |
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 | 22 | 2021 |
Stain-robust mitotic figure detection for the mitosis domain generalization challenge M Jahanifar, A Shepard, N Zamanitajeddin, RMS Bashir, M Bilal, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 20 | 2021 |
Segmentation of lesions in dermoscopy images using saliency map and contour propagation M Jahanifar, NZ Tajeddin, A Gooya, BM Asl arXiv, 2017 | 10 | 2017 |
Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Anibal Pedraza, Maria …, 2020 | 9 | 2020 |
Stain-robust mitotic figure detection for MIDOG 2022 challenge M Jahanifar, A Shephard, N Zamanitajeddin, SEA Raza, N Rajpoot arXiv preprint arXiv:2208.12587, 2022 | 7 | 2022 |
Cells are actors: Social network analysis with classical ml for sota histology image classification N Zamanitajeddin, M Jahanifar, N Rajpoot Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 2021 |
Automatic recognition of the supraspinatus tendinopathy from ultrasound images using convolutional neural networks M Jahanifar, NZ Tajeddin, M Hasani, B Shekarchi, K Azema arXiv preprint arXiv:2011.11777, 2020 | 6 | 2020 |
Domain generalization in computational pathology: survey and guidelines M Jahanifar, M Raza, K Xu, T Vuong, R Jewsbury, A Shephard, ... arXiv preprint arXiv:2310.19656, 2023 | 5 | 2023 |
Leveraging transfer learning for segmenting lesions and their attributes in dermoscopy images. arXiv 2018 NA Koohbanani, M Jahanifar, NZ Tajeddin, A Gooya, N Rajpoot arXiv preprint arXiv:1809.10243, 0 | 5 | |
Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures M Jahanifar, A Shephard, N Zamanitajeddin, S Graham, SEA Raza, ... Medical Image Analysis 94, 103132, 2024 | 2 | 2024 |
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer N Zamanitajeddin, M Jahanifar, M Bilal, M Eastwood, N Rajpoot Medical Image Analysis 93, 103071, 2024 | 2 | 2024 |
Investigating the effect of self-supervised contrastive learning on mitosis classification TT Le Vuong, M Jahanifar, N Zamanitajeddin, JT Kwak, R Nasir 27th Conference on Medical Image Understanding and Analysis 2023, 213, 0 | | |