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Lee A D Cooper

Showing results (1-10 of 77) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
IMAGING GENOMICSL I Shen, Lee A D Cooper
Archives of Pathology & Laboratory Medicine|October 6, 2024
Machine Learning Assessment of Gestational Age in Accelerated Maturation, Delayed Maturation, Villous Edema, Chorangiosis, and Intrauterine Fetal DemiseJeffery A Goldstein, Ramin Nateghi, Lee A D Cooper
Neuro-Oncology|July 1, 2026
Inferring DNA Methylation Class from Digitized Pathology Images and AI: A Worthy and Timely Application with Room for Improved Clinical PerformanceMarina Ayad, Lee A D Cooper, Daniel J Brat
Laboratory Investigation; a Journal of Technical Methods and Pathology|March 6, 2021
GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide imagesPooya Mobadersany, Lee A D Cooper, Jeffery A Goldstein
Proceedings. IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology|July 17, 2018
Acceleration of Two Point Correlation Function Calculation for Pathology Image SegmentationLee A D Cooper, Joel H Saltz, Umit Catalyurek, et al.
Placenta|March 23, 2023
Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombusJeffery A Goldstein, Ramin Nateghi, Ismail Irmakci, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|November 4, 2023
Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow CytometryJoshua E Lewis, Lee A D Cooper, David L Jaye, et al.
Biorxiv : the Preprint Server for Biology|October 9, 2023
Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia using Flow CytometryJoshua E Lewis, Lee A D Cooper, David L Jaye, et al.
Placenta|May 27, 2026
Machine learning identification of maternal inflammatory response and systemic inflammatory response from placental membrane whole slide imagesAbhishek Sharma, Ramin Nateghi, Marina Ayad, et al.
Magnetic Resonance in Medicine|January 23, 2019
Incorporation of a spectral model in a convolutional neural network for accelerated spectral fittingSaumya S Gurbani, Sulaiman Sheriff, Andrew A Maudsley, et al.
Pageof 8

Showing results (1-10 of 77) with videos related to

Sort By:
Pageof 8
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
IMAGING GENOMICSL I Shen, Lee A D Cooper
Archives of Pathology & Laboratory Medicine|October 6, 2024
Machine Learning Assessment of Gestational Age in Accelerated Maturation, Delayed Maturation, Villous Edema, Chorangiosis, and Intrauterine Fetal DemiseJeffery A Goldstein, Ramin Nateghi, Lee A D Cooper
Neuro-Oncology|July 1, 2026
Inferring DNA Methylation Class from Digitized Pathology Images and AI: A Worthy and Timely Application with Room for Improved Clinical PerformanceMarina Ayad, Lee A D Cooper, Daniel J Brat
Laboratory Investigation; a Journal of Technical Methods and Pathology|March 6, 2021
GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide imagesPooya Mobadersany, Lee A D Cooper, Jeffery A Goldstein
Proceedings. IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology|July 17, 2018
Acceleration of Two Point Correlation Function Calculation for Pathology Image SegmentationLee A D Cooper, Joel H Saltz, Umit Catalyurek, et al.
Placenta|March 23, 2023
Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombusJeffery A Goldstein, Ramin Nateghi, Ismail Irmakci, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|November 4, 2023
Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow CytometryJoshua E Lewis, Lee A D Cooper, David L Jaye, et al.
Biorxiv : the Preprint Server for Biology|October 9, 2023
Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia using Flow CytometryJoshua E Lewis, Lee A D Cooper, David L Jaye, et al.
Placenta|May 27, 2026
Machine learning identification of maternal inflammatory response and systemic inflammatory response from placental membrane whole slide imagesAbhishek Sharma, Ramin Nateghi, Marina Ayad, et al.
Magnetic Resonance in Medicine|January 23, 2019
Incorporation of a spectral model in a convolutional neural network for accelerated spectral fittingSaumya S Gurbani, Sulaiman Sheriff, Andrew A Maudsley, et al.
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