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Imon Banerjee

Showing results (101-110 of 161) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|June 30, 2023
Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patientsAmara Tariq, Siyi Tang, Hifza Sakhi, et al.
Frontiers in Radiology|August 17, 2023
Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammographyInChan Hwang, Hari Trivedi, Beatrice Brown-Mulry, et al.
The British Journal of Radiology|September 12, 2023
AI pitfalls and what not to do: mitigating bias in AIJudy Wawira Gichoya, Kaesha Thomas, Leo Anthony Celi, et al.
Journal of Digital Imaging|August 18, 2021
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology ImagesPradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
A Large Language Model-Based Generative Natural Language Processing Framework Finetuned on Clinical Notes Accurately Extracts Headache Frequency from Electronic Health RecordsChia-Chun Chiang, Man Luo, Gina Dumkrieger, et al.
Headache|March 25, 2024
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health recordsChia-Chun Chiang, Man Luo, Gina Dumkrieger, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 10, 2025
MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confoundingJialu Pi, Juan Maria Farina, Rimita Lahiri, et al.
Medrxiv : the Preprint Server for Health Sciences|November 3, 2022
Graph-based Fusion Modeling and Explanation for Disease Trajectory PredictionAmara Tariq, Siyi Tang, Hifza Sakhi, et al.
Radiology. Artificial Intelligence|April 8, 2022
Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology PracticeYasasvi Tadavarthi, Valeria Makeeva, William Wagstaff, et al.
Medical Physics|July 30, 2021
SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammogramsXiaoyuan Guo, W Charles O'Neill, Brianna Vey, et al.
Pageof 17

Showing results (101-110 of 161) with videos related to

Sort By:
Pageof 17
Journal of Medical Imaging (Bellingham, Wash.)|June 30, 2023
Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patientsAmara Tariq, Siyi Tang, Hifza Sakhi, et al.
Frontiers in Radiology|August 17, 2023
Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammographyInChan Hwang, Hari Trivedi, Beatrice Brown-Mulry, et al.
The British Journal of Radiology|September 12, 2023
AI pitfalls and what not to do: mitigating bias in AIJudy Wawira Gichoya, Kaesha Thomas, Leo Anthony Celi, et al.
Journal of Digital Imaging|August 18, 2021
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology ImagesPradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
A Large Language Model-Based Generative Natural Language Processing Framework Finetuned on Clinical Notes Accurately Extracts Headache Frequency from Electronic Health RecordsChia-Chun Chiang, Man Luo, Gina Dumkrieger, et al.
Headache|March 25, 2024
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health recordsChia-Chun Chiang, Man Luo, Gina Dumkrieger, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 10, 2025
MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confoundingJialu Pi, Juan Maria Farina, Rimita Lahiri, et al.
Medrxiv : the Preprint Server for Health Sciences|November 3, 2022
Graph-based Fusion Modeling and Explanation for Disease Trajectory PredictionAmara Tariq, Siyi Tang, Hifza Sakhi, et al.
Radiology. Artificial Intelligence|April 8, 2022
Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology PracticeYasasvi Tadavarthi, Valeria Makeeva, William Wagstaff, et al.
Medical Physics|July 30, 2021
SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammogramsXiaoyuan Guo, W Charles O'Neill, Brianna Vey, et al.
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