D. Sussman

Artificial amniotic fluid for nuclear magnetic resonance spectroscopy studies

S. Sadanand, Doshina Naila, D. Sussman, 2022, Analytical Science Advances.

Multidimensional fetal flow imaging with cardiovascular magnetic resonance: a feasibility study

Mike Seed, Davide Marini, Christopher W. Roy, 2018, Journal of Cardiovascular Magnetic Resonance.

Characterization of Mechanical and Dielectric Properties of Silicone Rubber

L. Chiu, S. Sadanand, Stephen D. Waldman, 2021, Polymers.

Fet-Net Algorithm for Automatic Detection of Fetal Orientation in Fetal MRI

Birgit B Ertl-Wagner, L. Vidarsson, D. Sussman, 2023, Bioengineering.

Quantitative analysis of fetal magnetic resonance phantoms and recommendations for an anthropomorphic motion phantom

Saiee Nithiyanantham, Dafna Sussman, Michael Shulman, 2019, Magnetic Resonance Materials in Physics, Biology and Medicine.

Artificial Intelligence and Surgical Education: A Systematic Scoping Review of Interventions.

A. Kirubarajan, Shawn Khan, M. Sobel, 2021, Journal of surgical education.

Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study

A. Kirubarajan, J. Ray, J. Snelgrove, 2023, BMC Pregnancy and Childbirth.

Medical Augmentation (Med-Aug) for Optimal Data Augmentation in Medical Deep Learning Networks

J. Lo, Jillian Cardinell, D. Sussman, 2021, Sensors.

Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation

Birgit Ertl-Wagner, Matthias W Wagner, Mike Seed, 2021, Sensors.

AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI

D. Sussman, B. Ertl-Wagner, Alejo Costanzo, 2023, Bioengineering.