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LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

Y. Jiao, J. van der Laak, S. Albarqouni, Z. Li, T. Tan, A. Bhalerao, S. Cheng, J. Ma, J. Pocock, J. Pluim, N. Koohbanani, R. Bashir, S. Raza, S. Liu, S. Graham, S. Wetstein, S. Khurram, X. Liu, N. Rajpoot, M. Veta, and F. Ciompi. IEEE J. Biomed. Health Informatics, 28 (3): 1161-1172 (March 2024)

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Navid Ramezanian

Stäbchenförmigen Stäbchenförmige Moleküle mit Nitroxyl-Radikalen für die Untersuchung der molekularen FlexibilitätN. Ramezanian. Uni Bielefeld, (2007)

Badieh Alemi

Amir-Ali Navidy

Mojdeh Heidary Navid

Navid Khorshidi

Other publications of authors with the same name

PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification.J. Gamper, N. Koohbanani, K. Benet, A. Khuram, and N. Rajpoot. ECDP, volume 11435 of Lecture Notes in Computer Science, page 11-19. Springer, (2019)Working with scarce annotations in computational pathology.N. Koohbanani. University of Warwick, Coventry, UK, (2020)British Library, EThOS.Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.N. Koohbanani, T. Qaiser, M. Shaban, J. Gamper, and N. Rajpoot. COMPAY/OMIA@MICCAI, volume 11039 of Lecture Notes in Computer Science, page 139-147. Springer, (2018)Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images.N. Koohbanani, M. Jahanifar, N. Tajeddin, A. Gooya, and N. Rajpoot. CoRR, (2018)LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.Y. Jiao, J. van der Laak, S. Albarqouni, Z. Li, T. Tan, A. Bhalerao, J. Ma, J. Sun, J. Pocock, J. Pluim and 11 other author(s). CoRR, (2023)Nuclei Detection Using Mixture Density Networks.N. Koohbanani, M. Jahanifar, A. Gooya, and N. Rajpoot. MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 241-248. Springer, (2018)Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations.N. Koohbanani, B. Unnikrishnan, S. Khurram, P. Krishnaswamy, and N. Rajpoot. IEEE Trans. Medical Imaging, 40 (10): 2845-2856 (2021)Multi-Task Learning in Histo-pathology for Widely Generalizable Model.J. Gamper, N. Koohbanani, and N. Rajpoot. CoRR, (2020)Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups.L. Godson, N. Koohbanani, J. Nsengimana, G. Cook, E. Clarke, D. Treanor, D. Bishop, J. Newton-Bishop, and A. Gooya. MIDL, volume 172 of Proceedings of Machine Learning Research, page 423-440. PMLR, (2022)CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images.Y. Zhou, S. Graham, N. Koohbanani, M. Shaban, P. Heng, and N. Rajpoot. ICCV Workshops, page 388-398. IEEE, (2019)

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Disambiguation of "Koohbanani, Navid Alemi"

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LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

Please choose a person to relate this publication to

Navid Ramezanian

Badieh Alemi

Amir-Ali Navidy

Mojdeh Heidary Navid

Navid Khorshidi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Koohbanani, Navid Alemi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

Please choose a person to relate this publication to

Navid Ramezanian

Badieh Alemi

Amir-Ali Navidy

Mojdeh Heidary Navid

Navid Khorshidi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.