Követés
Pantelis Zisimopoulos
Pantelis Zisimopoulos
Weill Cornell Medicine
E-mail megerősítve itt: zisimo.com
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
P Khosravi, E Kazemi, Q Zhan, JE Malmsten, M Toschi, P Zisimopoulos, ...
NPJ digital medicine 2 (1), 21, 2019
2992019
A deep learning approach to diagnostic classification of prostate cancer using pathology–radiology fusion
P Khosravi, M Lysandrou, M Eljalby, Q Li, E Kazemi, P Zisimopoulos, ...
Journal of Magnetic Resonance Imaging 54 (2), 462-471, 2021
602021
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study
J Barnes, M Brendel, VR Gao, S Rajendran, J Kim, Q Li, JE Malmsten, ...
The Lancet Digital Health 5 (1), e28-e40, 2023
252023
Biopsy-free prediction of prostate cancer aggressiveness using deep learning and radiology imaging
P Khosravi, M Lysandrou, M Eljalby, M Brendel, Q Li, E Kazemi, J Barnes, ...
medRxiv, 2019.12. 16.19015057, 2019
22019
An Event-Driven Architecture to Simplify Systems Communication in the Molecular Laboratory
A Sboner, M Simi, K Gorski, P Delpe, E Fernandez, J Solomon, J Tang, ...
JOURNAL OF MOLECULAR DIAGNOSTICS 25 (11), S78-S79, 2023
2023
Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging
S Rajendran, M Brendel, J Barnes, Q Zhan, JE Malmsten, P Zisimopoulos, ...
bioRxiv, 2023.08. 31.555741, 2023
2023
Many NGS-Based Assays, One Platform: Ensuring a High-Quality Case Review and Sign-out Process with NGS Reporter (NGSR)
A Sboner, P Zisimopoulos, J Tang, J Oakley, M Spiewack, P Velu, ...
JOURNAL OF MOLECULAR DIAGNOSTICS 22 (11), S54-S54, 2020
2020
Building Scalable and Robust Informatics Systems for Clinical Genomic Assays in the Precision Medicine Era
A Sboner, K Eng, P Zisimopoulus, A Sigaras, M Simi, S Ramazanoglu, ...
JOURNAL OF MOLECULAR DIAGNOSTICS 22 (5), S6-S6, 2020
2020
A Grid Scheduling infrastructure for Smart Connect’s performance monitoring calculations
P Zisimopoulos, T van der Storm, A Stegehuis, L Bakker
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Cikkek 1–9