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Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

T. Wanyan, M. Lin, E. Klang, K. Menon, F. Gulamali, A. Azad, Y. Zhang, Y. Ding, Z. Wang, F. Wang, B. Glicksberg, and Y. Peng. BCB, page 9:1-9:9. ACM, (2022)

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Heike Klang

Manuel Klang

Eyal Haik

Eyal Arnon

Klaus Klang

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Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.A. Ben-Cohen, E. Klang, S. Raskin, M. Amitai, and H. Greenspan. SASHIMI@MICCAI, volume 10557 of Lecture Notes in Computer Science, page 49-57. Springer, (2017)Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection.A. Ben-Cohen, E. Klang, S. Raskin, S. Soffer, S. Ben-Haim, E. Konen, M. Amitai, and H. Greenspan. Eng. Appl. Artif. Intell., (2019)Fully Convolutional Network for Liver Segmentation and Lesions Detection.A. Ben-Cohen, I. Diamant, E. Klang, M. Amitai, and H. Greenspan. LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 77-85. (2016)Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans.N. Cahan, E. Marom, S. Soffer, Y. Barash, E. Konen, E. Klang, and H. Greenspan. CoRR, (2021)Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations.A. Ben-Cohen, E. Klang, A. Kerpel, E. Konen, M. Amitai, and H. Greenspan. Neurocomputing, (2018)Fully automatic detection of renal cysts in abdominal CT scans.N. Blau, E. Klang, N. Kiryati, M. Amitai, O. Portnoy, and A. Mayer. Int. J. Comput. Assist. Radiol. Surg., 13 (7): 957-966 (2018)Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.A. Ben-Cohen, I. Diamant, E. Klang, M. Amitai, and H. Greenspan. Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903519. SPIE, (2014)A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality.E. Klang, M. Levin, S. Soffer, A. Zebrowski, B. Glicksberg, B. Carr, J. Mcgreevy, D. Reich, and R. Freeman. Big Data Cogn. Comput., 5 (3): 40 (2021)Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.I. Diamant, A. Hoogi, C. Beaulieu, M. Safdari, E. Klang, M. Amitai, H. Greenspan, and D. Rubin. IEEE J. Biomed. Health Informatics, 20 (6): 1585-1594 (2016)Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients.N. Cahan, E. Marom, S. Soffer, Y. Barash, E. Konen, E. Klang, and H. Greenspan. ISBI, page 1-4. IEEE, (2022)

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Disambiguation of "Klang, Eyal"

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Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

Please choose a person to relate this publication to

Heike Klang

Manuel Klang

Eyal Haik

Eyal Arnon

Klaus Klang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Klang, Eyal"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

Please choose a person to relate this publication to

Heike Klang

Manuel Klang

Eyal Haik

Eyal Arnon

Klaus Klang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.