Katie L. Ovens

According to our database, Katie L. Ovens authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modified CycleGAN for the synthesization of samples for wheat head segmentation.

Jaden Myers, Keyhan Najafian, Farhad Maleki, Katie L. Ovens

CoRR, 2024

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.

Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel Warren, Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline

CoRR, 2024

2023

Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images.

Andrew Heschl, Hosein Beheshtifard, Phuong Thao Nguyen, Tapotosh Ghosh, Katie L. Ovens, Farhad Maleki

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022

Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls.

Farhad Maleki, Katie L. Ovens, Rajiv Gupta, Caroline Reinhold, Alan Spatz, Reza Forghani

CoRR, 2022

2021

Juxtapose: a gene-embedding approach for comparing co-expression networks.

Katie L. Ovens, Farhad Maleki, B. Frank Eames, Ian McQuillan

BMC Bioinform., 2021

A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images.

Farhad Maleki, Kevin Cote, Keyhan Najafian, Katie L. Ovens, Yan Miao, Rita Zakarian, Caroline Reinhold, Reza Forghani, Peter Savadjiev, Zu-hua Gao

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

The impact of sample size and tissue type on the reproducibility of gene co-expression networks.

Katie L. Ovens, B. Frank Eames, Ian McQuillan

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Measuring consistency among gene set analysis methods: A systematic study.

Farhad Maleki, Katie L. Ovens, Daniel J. Hogan, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik

J. Bioinform. Comput. Biol., 2019

Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome.

Farhad Maleki, Katie L. Ovens, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Gene Set Databases: A Fountain of Knowledge or a Siren Call?

Farhad Maleki, Katie L. Ovens, Ian McQuillan, Elham Rezaei, Alan M. Rosenberg, Anthony J. Kusalik

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Sample Size and Reproducibility of Gene Set Analysis.

Farhad Maleki, Katie L. Ovens, Ian McQuillan, Anthony J. Kusalik

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018