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Emily Kaczmarek

Showing results (1-10 of 9) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Multi-Omic Graph Transformers for Cancer Classification and InterpretationEmily Kaczmarek, Amoon Jamzad, Tashifa Imtiaz, et al.
The American Journal of Pathology|November 14, 2021
Discriminating Neoplastic from Nonneoplastic Tissues Using an miRNA-Based Deep Cancer ClassifierEmily Kaczmarek, Blake Pyman, Jina Nanayakkara, et al.
BMC Bioinformatics|January 14, 2022
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signaturesEmily Kaczmarek, Jina Nanayakkara, Alireza Sedghi, et al.
Scientific Reports|September 29, 2025
Correction: Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry dataKevin Dick, Emily Kaczmarek, Robin Ducharme, et al.
Scientific Reports|April 8, 2025
Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry dataKevin Dick, Emily Kaczmarek, Robin Ducharme, et al.
Plos One|June 18, 2024
CAManim: Animating end-to-end network activation mapsEmily Kaczmarek, Olivier X Miguel, Alexa C Bowie, et al.
Scientific Reports|March 30, 2026
MetaCAM as an ensemble-based class activation mapping framework improves model explainabilityKevin Dick, Emily Kaczmarek, Olivier X Miguel, et al.
Scientific Reports|April 19, 2024
Deep learning prediction of renal anomalies for prenatal ultrasound diagnosisOlivier X Miguel, Emily Kaczmarek, Inok Lee, et al.
STAR Protocols|November 4, 2024
A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classificationTashifa Imtiaz, Jina Nanayakkara, Alexis Fang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Multi-Omic Graph Transformers for Cancer Classification and InterpretationEmily Kaczmarek, Amoon Jamzad, Tashifa Imtiaz, et al.
The American Journal of Pathology|November 14, 2021
Discriminating Neoplastic from Nonneoplastic Tissues Using an miRNA-Based Deep Cancer ClassifierEmily Kaczmarek, Blake Pyman, Jina Nanayakkara, et al.
BMC Bioinformatics|January 14, 2022
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signaturesEmily Kaczmarek, Jina Nanayakkara, Alireza Sedghi, et al.
Scientific Reports|September 29, 2025
Correction: Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry dataKevin Dick, Emily Kaczmarek, Robin Ducharme, et al.
Scientific Reports|April 8, 2025
Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry dataKevin Dick, Emily Kaczmarek, Robin Ducharme, et al.
Plos One|June 18, 2024
CAManim: Animating end-to-end network activation mapsEmily Kaczmarek, Olivier X Miguel, Alexa C Bowie, et al.
Scientific Reports|March 30, 2026
MetaCAM as an ensemble-based class activation mapping framework improves model explainabilityKevin Dick, Emily Kaczmarek, Olivier X Miguel, et al.
Scientific Reports|April 19, 2024
Deep learning prediction of renal anomalies for prenatal ultrasound diagnosisOlivier X Miguel, Emily Kaczmarek, Inok Lee, et al.
STAR Protocols|November 4, 2024
A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classificationTashifa Imtiaz, Jina Nanayakkara, Alexis Fang, et al.
Pageof 1