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Segal, J. Bradley
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1

Neuromonitoring in Children with Cerebrovascular Disorders:

Harrar, Dana B. ; Sun, Lisa R. ; Segal, J. Bradley..
Neurocritical Care.  38 (2023)  2 - p. 486-503 , 2023
Link: https://doi.org/10.1007/..
 
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2

Bilateral Marcus Gunn jaw-Winking Syndrome in a Neonate wit..:

Johnson, Alexandra ; Silverman, Andrew ; Segal, J. Bradley.
The Journal of Pediatrics.  252 (2023)  - p. 223-224 , 2023
Link: https://doi.org/10.1016/..
 
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3

The unintended consequences of artificial intelligence in p..:

Ciet, Pierluigi ; Eade, Christine ; Ho, Mai-Lan...
Pediatric Radiology.  , 2023
Link: https://doi.org/10.1007/..
 
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4

Analysis of the Trends of Methicillin-Resistant Staphylococ..:

Segal, Bradley ; Langham, Alice ; Klevansky, Rachel...
Microbiology Spectrum.  11 (2023)  4 - p. , 2023
Link: https://doi.org/10.1128/..
 
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5

The role of machine learning in HIV risk prediction:

Fieggen, Joshua ; Smith, Eli ; Arora, Lovkesh.
Frontiers in Reproductive Health.  4 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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6

Evaluating the Clinical Realism of Synthetic Chest X-Rays G..:

Segal, Bradley ; Rubin, David M. ; Rubin, Grace.
SN Computer Science.  2 (2021)  4 - p. , 2021
Link: https://doi.org/10.1007/..
 
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7

Inherited proclivity: When should neurogenetics mitigate mo..:

Segal, J Bradley
Journal of Law and the Biosciences.  3 (2016)  1 - p. 227-237 , 2016
Link: https://doi.org/10.1093/..
 
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8

D-dimers in omicron versus delta: A retrospective analysis:

Shulman, Alon H. ; Jacobson, Barry ; Segal, Bradley M....
Southern African Journal of Infectious Diseases.  37 (2022)  1 - p. , 2022
Link: https://doi.org/10.4102/..
 
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9

Analysis of the Trends of Methicillin-Resistant Staphylococ..:

Bradley Segal ; Alice Langham ; Rachel Klevansky...
https://journals.asm.org/doi/10.1128/spectrum.03623-22.  , 2023
Link: https://doi.org/10.1128/..
 
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10

Analysis of the Trends of Methicillin-Resistant Staphylococ..:

Segal, Bradley ; Langham, Alice ; Klevansky, Rachel...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433859/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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11

MEDIGAN MODEL UPLOAD: 00020_PGGAN_CHEST_XRAY:

Bradley Segal ; Medigan Model Preparation: Richard Osuala ; Scoayna Jouide
doi:10.5281/zenodo.7046280.  , 2022
Link: https://zenodo.org/recor..
 
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12

The role of machine learning in HIV risk prediction:

Joshua Fieggen ; Eli Smith ; Lovkesh Arora.
https://www.frontiersin.org/articles/10.3389/frph.2022.1062387/full.  , 2022
Link: https://doi.org/10.3389/..
 
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13

MEDIGAN MODEL UPLOAD: 00020_PGGAN_CHEST_XRAY:

Bradley Segal ; Medigan Model Preparation: Richard Osuala ; Scoayna Jouide
doi:10.5281/zenodo.7046280.  , 2022
Link: https://zenodo.org/recor..
 
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14

The role of machine learning in HIV risk prediction:

Fieggen, Joshua ; Smith, Eli ; Arora, Lovkesh.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815547/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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15

MEDIGAN MODEL UPLOAD: 00020_PGGAN_CHEST_XRAY:

Bradley Segal ; Medigan Model Preparation: Richard Osuala ; Scoayna Jouide
doi:10.5281/zenodo.7046280.  , 2022
Link: https://zenodo.org/recor..
 
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