Sussman D - Search Results

1

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

Eisenstat J, Wagner MW, Vidarsson L, Ertl-Wagner B, Sussman D. Eisenstat J, et al. Among authors: sussman d. Bioengineering (Basel). 2023 Jan 20;10(2):140. doi: 10.3390/bioengineering10020140. Bioengineering (Basel). 2023. PMID: 36829634 Free PMC article.

2

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

Lo J, Nithiyanantham S, Cardinell J, Young D, Cho S, Kirubarajan A, Wagner MW, Azma R, Miller S, Seed M, Ertl-Wagner B, Sussman D. Lo J, et al. Among authors: sussman d. Sensors (Basel). 2021 Jun 30;21(13):4490. doi: 10.3390/s21134490. Sensors (Basel). 2021. PMID: 34209154 Free PMC article.

3

Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI.

Lo J, Lim A, Wagner MW, Ertl-Wagner B, Sussman D. Lo J, et al. Among authors: sussman d. Front Artif Intell. 2022 Mar 18;5:832485. doi: 10.3389/frai.2022.832485. eCollection 2022. Front Artif Intell. 2022. PMID: 35372832 Free PMC article.

4

Automatic Artifact Detection Algorithm in Fetal MRI.

Lim A, Lo J, Wagner MW, Ertl-Wagner B, Sussman D. Lim A, et al. Among authors: sussman d. Front Artif Intell. 2022 Jun 16;5:861791. doi: 10.3389/frai.2022.861791. eCollection 2022. Front Artif Intell. 2022. PMID: 35783351 Free PMC article.

5

AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI.

Costanzo A, Ertl-Wagner B, Sussman D. Costanzo A, et al. Among authors: sussman d. Bioengineering (Basel). 2023 Jun 30;10(7):783. doi: 10.3390/bioengineering10070783. Bioengineering (Basel). 2023. PMID: 37508809 Free PMC article.

6

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

Lo J, Cardinell J, Costanzo A, Sussman D. Lo J, et al. Among authors: sussman d. Sensors (Basel). 2021 Oct 22;21(21):7018. doi: 10.3390/s21217018. Sensors (Basel). 2021. PMID: 34770324 Free PMC article.

7

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

Shulman M, Cho E, Aasi B, Cheng J, Nithiyanantham S, Waddell N, Sussman D. Shulman M, et al. Among authors: sussman d. MAGMA. 2020 Apr;33(2):257-272. doi: 10.1007/s10334-019-00775-x. Epub 2019 Sep 5. MAGMA. 2020. PMID: 31487004 Review.

8

Effect of Injection Parameters on the MRI and Dielectric Properties of Condensation-Cured Silicone.

Cristant C, Kolasangiani K, Sadanand S, Bougherara H, Sussman D. Cristant C, et al. Among authors: sussman d. Polymers (Basel). 2023 Dec 11;15(24):4670. doi: 10.3390/polym15244670. Polymers (Basel). 2023. PMID: 38139922 Free PMC article.

9

Diagnosis of placenta accreta spectrum using ultrasound texture feature fusion and machine learning.

Young D, Khan N, Hobson SR, Sussman D. Young D, et al. Among authors: sussman d. Comput Biol Med. 2024 Aug;178:108757. doi: 10.1016/j.compbiomed.2024.108757. Epub 2024 Jun 14. Comput Biol Med. 2024. PMID: 38878399 Free article.

10

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

Goolaub DS, Roy CW, Schrauben E, Sussman D, Marini D, Seed M, Macgowan CK. Goolaub DS, et al. Among authors: sussman d. J Cardiovasc Magn Reson. 2018 Nov 29;20(1):77. doi: 10.1186/s12968-018-0498-z. J Cardiovasc Magn Reson. 2018. PMID: 30486832 Free PMC article.

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