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Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images.

H. Hezi, D. Shats, D. Gurevich, Y. Maruvka, and M. Freiman. CoRR, (2023)

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Natalia Shatskaya

Daniel

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen ImmunitätD. Stanze. Uni Marburg, (2009)

Daniel Wied

Zivilprozessuale Qualifikationsprobleme im Spannungsfeld von Vertrag und Delikt: ein Beitrag zur Auslegung nationalen Zivilprozessrechts in europäischer PerspektiveD. Wied. Uni Regensburg, (2009)

Other publications of authors with the same name

A large dataset curation and benchmark for drug target interaction.A. Golts, V. Ratner, Y. Shoshan, M. Raboh, S. Polaczek, M. Ozery-Flato, D. Shats, L. Hazan, S. Ravid, and E. Hexter. CoRR, (2024)Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator.J. Bocinsky, C. McCurley, D. Shats, and A. Zare. CoRR, (2019)Multitarget Multiple-Instance Learning for Hyperspectral Target Detection.S. Meerdink, J. Bocinsky, A. Zare, N. Kroeger, C. McCurley, D. Shats, and P. Gader. IEEE Trans. Geosci. Remote. Sens., (2022)WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19.P. Suryanarayanan, C. Tsou, A. Poddar, D. Mahajan, B. Dandala, P. Madan, A. Agrawal, C. Wachira, S. Osebe, O. Bar-Shira and 15 other author(s). CoRR, (2020)Multi-Target Multiple Instance Learning for Hyperspectral Target Detection.S. Meerdink, J. Bocinsky, A. Zare, N. Kroeger, C. McCurley, D. Shats, and P. Gader. CoRR, (2019)Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images.H. Hezi, D. Shats, D. Gurevich, Y. Maruvka, and M. Freiman. CoRR, (2023)The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.N. Heller, F. Isensee, D. Trofimova, R. Tejpaul, Z. Zhao, H. Chen, L. Wang, A. Golts, D. Khapun, D. Shats and 35 other author(s). CoRR, (2023)Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings.D. Shats, H. Hezi, G. Shani, Y. Maruvka, and M. Freiman. ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 454-465. Springer, (2022)An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans.A. Golts, D. Khapun, D. Shats, Y. Shoshan, and F. Gilboa-Solomon. KiTS@MICCAI, volume 13168 of Lecture Notes in Computer Science, page 103-115. Springer, (2021)

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Disambiguation of "Shats, Daniel"

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Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images.

Please choose a person to relate this publication to

Natalia Shatskaya

Daniel

Daniel

Daniel Stanze

Daniel Wied

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shats, Daniel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images.

Please choose a person to relate this publication to

Natalia Shatskaya

Daniel

Daniel

Daniel Stanze

Daniel Wied

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
EndNote
APA
Chicago
DIN 1505
Harvard
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Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images.