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Ricardo Bigolin Lanfredi

Showing results (1-10 of 7) with videos related to

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Arxiv|May 7, 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classificationRicardo Bigolin Lanfredi, Pritam Mukherjee, Ronald Summers
Medical Image Analysis|November 15, 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classificationRicardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M Summers
Pattern Recognition|April 24, 2023
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient DescentRicardo Bigolin Lanfredi, Joyce D Schroeder, Tolga Tasdizen
Frontiers in Radiology|July 26, 2023
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotationRicardo Bigolin Lanfredi, Joyce D Schroeder, Tolga Tasdizen
International Journal of Chronic Obstructive Pulmonary Disease|January 15, 2021
Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function DataJoyce D Schroeder, Ricardo Bigolin Lanfredi, Tao Li, et al.
Scientific Data|June 18, 2022
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-raysRicardo Bigolin Lanfredi, Mingyuan Zhang, William F Auffermann, et al.
Arxiv|July 30, 2025
LEAVS: An LLM-based Labeler for Abdominal CT SupervisionRicardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Arxiv|May 7, 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classificationRicardo Bigolin Lanfredi, Pritam Mukherjee, Ronald Summers
Medical Image Analysis|November 15, 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classificationRicardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M Summers
Pattern Recognition|April 24, 2023
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient DescentRicardo Bigolin Lanfredi, Joyce D Schroeder, Tolga Tasdizen
Frontiers in Radiology|July 26, 2023
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotationRicardo Bigolin Lanfredi, Joyce D Schroeder, Tolga Tasdizen
International Journal of Chronic Obstructive Pulmonary Disease|January 15, 2021
Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function DataJoyce D Schroeder, Ricardo Bigolin Lanfredi, Tao Li, et al.
Scientific Data|June 18, 2022
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-raysRicardo Bigolin Lanfredi, Mingyuan Zhang, William F Auffermann, et al.
Arxiv|July 30, 2025
LEAVS: An LLM-based Labeler for Abdominal CT SupervisionRicardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein, et al.
Pageof 1