Schwartz, Nadav

User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP

Yushkevich, P. A., Pashchinskiy, A., Oguz, I., Mohan, S., Schmitt, J. E., Stein, J. M., Zukić, D., Vicory, J., McCormick, M., Yushkevich, N., et al. (2019) · Neuroinformatics

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 175

Wireless, remote solution for home fetal and maternal heart rate monitoring

Mhajna, M., Schwartz, N., Levit-Rosen, L., Warsof, S., Lipschuetz, M., Jakobs, M., Rychik, J., Sohn, C., & Yagel, S. (2020) · American Journal of Obstetrics & Gynecology MFM

Non-Invasive Vital Sign MonitoringECG Monitoring and Analysis

Cited by 88

Adnexal masses in pregnancy

SCHWARTZ, N., TIMOR-TRITSCH, I. E., & WANG, E. (2009) · Clinical Obstetrics & Gynecology

Ovarian cancer diagnosis and treatmentOvarian function and disorders

Cited by 84

First-trimester placental ultrasound and maternal serum markers as predictors of small-for-gestational-age infants

Schwartz, N., Sammel, M. D., Leite, R., & Parry, S. (2014) · American Journal of Obstetrics and Gynecology

Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics

Cited by 80

Two‐dimensional sonographic placental measurements in the prediction of small‐for‐gestational‐age infants

Schwartz, N., Wang, E., & Parry, S. (2012) · Ultrasound in Obstetrics & Gynecology

Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics

Cited by 49

Macrosomia has its roots in early placental development

Schwartz, N., Quant, H. S., Sammel, M. D., & Parry, S. (2014) · Placenta

Gestational Diabetes Research and ManagementPregnancy and preeclampsia studies

Cited by 35

Transabdominal Ultrasonography as a Screening Test for Second-Trimester Placenta Previa

Quant, H. S., Friedman, A. M., Wang, E., Parry, S., & Schwartz, N. (2014) · Obstetrics & Gynecology

Maternal and fetal healthcarePregnancy and preeclampsia studies

Cited by 34

Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS

Oguz, B. U., Wang, J., Yushkevich, N., Pouch, A., Gee, J., Yushkevich, P. A., Schwartz, N., & Oguz, I. (2018) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 13

Minimally interactive placenta segmentation from three-dimensional ultrasound images

Oguz, I., Yushkevich, N., Pouch, A. M., Oguz, B. U., Wang, J., Parameshwaran, S., Gee, J. C., Yushkevich, P. A., & Schwartz, N. (2020) · Journal of Medical Imaging

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 13

Fully Automated Placental Volume Quantification From 3D Ultrasound for Prediction of Small‐for‐Gestational‐Age Infants

Schwartz, N., Oguz, I., Wang, J., Pouch, A., Yushkevich, N., Parameshwaran, S., Gee, J., Yushkevich, P., & Oguz, B. (2022) · Journal of Ultrasound in Medicine

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 11

366: Placental volume measurements early in pregnancy predict adverse perinatal outcomes

Schwartz, N., Coletta, J., Srinivas, S., Pessel, C., Timor, I. E., Parry, S., & Salafia, C. (2009) · American Journal of Obstetrics and Gynecology

Pregnancy and preeclampsia studiesMaternal and Perinatal Health Interventions

Cited by 3