Jillian Cardinell

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 5

Top Topics

Curve Evolution

Multiple Sclerosis

Medical Image Segmentation

Lesion Segmentation

Top Venues

DART/FAIR@MICCAI

Publications

Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR (2022)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR (2021)
Justin Lo, Saiee Nithiyanantham, Jillian Cardinell, Dylan Young, Sherwin Cho, Abirami Kirubarajan, Matthias W. Wagner, Roxana Azma, Steven Miller, Mike Seed, Birgit Ertl-Wagner, Dafna Sussman
Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation. Sensors 21 (13) (2021)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI (2021)
Justin Lo, Jillian Cardinell, Alejo Costanzo, Dafna Sussman
Medical Augmentation (Med-Aug) for Optimal Data Augmentation in Medical Deep Learning Networks. Sensors 21 (21) (2021)