Jeffery A. Goldstein

Orcid: 0000-0002-4086-057X

According to our database1, Jeffery A. Goldstein authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
6
1
2
1
1
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cross-modal contrastive learning for unified placenta analysis using photographs.
Patterns, 2024

S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging.
CoRR, 2024

Deep Learning for Fetal Inflammatory Response Diagnosis in the Umbilical Cord.
CoRR, 2024

Machine learning identification of maternal inflammatory response and histologic choroamnionitis from placental membrane whole slide images.
CoRR, 2024

Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases.
CoRR, 2024

Learning from crowds for automated histopathological image segmentation.
Comput. Medical Imaging Graph., 2024

2023
AI-SAM: Automatic and Interactive Segment Anything Model.
CoRR, 2023

Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Multi-region saliency-aware learning for cross-domain placenta image segmentation.
Pattern Recognit. Lett., 2020

AI-PLAX: AI-based placental assessment and examination using photos.
Comput. Medical Imaging Graph., 2020

2019
Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian disease.
J. Am. Medical Informatics Assoc., 2019

PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


  Loading...