Parameter-Efficient Adaptation of Fetal Ultrasound Foundation Models for Low-Resource Clinical Settings: A Cross-Backbone Benchmark with Calibration and Cross-Population Evaluation — Code and Results

Code and derived result files reproducing the experiments, tables, and figures in the paper submitted to Biomedical Signal Processing and Control. Includes benchmark scripts for four foundation-model backbones, result CSVs, confusion matrices, bootstrap confidence intervals, and figure-generation code. Public image datasets and pre-trained weights are linked in the README, not redistributed

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23682671
Primary Topic
Domain Adaptation and Few-Shot Learning
Type
article
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article

Parameter-Efficient Adaptation of Fetal Ultrasound Foundation Models for Low-Resource Clinical Settings: A Cross-Backbone Benchmark with Calibration and Cross-Population Evaluation — Code and Results

Rajesh H. Kulkarni, Srujan Raj Kondameedi, Sreenith Madabuushi, Sri Abhay Kumar Badam
2 links
Zenodo (CERN European Organization for Nuclear Research)
Domain Adaptation and Few-Shot Learning
article

Parameter-Efficient Adaptation of Fetal Ultrasound Foundation Models for Low-Resource Clinical Settings: A Cross-Backbone Benchmark with Calibration and Cross-Population Evaluation — Code and Results

Rajesh H. Kulkarni, Srujan Raj Kondameedi, Sreenith Madabuushi, Sri Abhay Kumar Badam
article en

Abstract

Code and derived result files reproducing the experiments, tables, and figures in the paper submitted to Biomedical Signal Processing and Control. Includes benchmark scripts for four foundation-model backbones, result CSVs, confusion matrices, bootstrap confidence intervals, and figure-generation code. Public image datasets and pre-trained weights are linked in the README, not redistributed

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 13%
Domain Adaptation and Few-Shot Learning
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