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Radiology. Artificial Intelligence
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November 26, 2025
Completing the Baby Album: AI Synthesizing Infant Brain MRI for Missing Time Points
Gunvant Chaudhari, Andreas Rauschecker
Radiology
|
April 15, 2025
RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration
Cody H Savage, Gunvant Chaudhari, Andrew D Smith, et al.
Light, Science & Applications
|
March 12, 2019
Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram
Yichen Wu, Yilin Luo, Gunvant Chaudhari, et al.
Radiology
|
July 19, 2022
Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans
Joshua Vic Chen, Gunvant Chaudhari, Christopher P Hess, et al.
BMC Medical Imaging
|
September 28, 2024
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
Adrian Serapio, Gunvant Chaudhari, Cody Savage, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
October 10, 2023
Hypersensitivity to Distractors in Fragile X Syndrome from Loss of Modulation of Cortical VIP Interneurons
Noorhan Rahmatullah, Lauren M Schmitt, Lisa De Stefano, et al.
Scientific Reports
|
February 25, 2024
Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset
Joshua V Chen, Yi Li, Felicia Tang, et al.
Radiology. Artificial Intelligence
|
July 10, 2024
Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE)
Christopher O Lew, Evan Calabrese, Joshua V Chen, et al.
BMC Medical Imaging
|
July 2, 2025
Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy
Masha Bondarenko, Jianxiang Zhang, Ulysis Hugo Baal, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Radiology. Artificial Intelligence
|
November 26, 2025
Completing the Baby Album: AI Synthesizing Infant Brain MRI for Missing Time Points
Gunvant Chaudhari, Andreas Rauschecker
Radiology
|
April 15, 2025
RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration
Cody H Savage, Gunvant Chaudhari, Andrew D Smith, et al.
Light, Science & Applications
|
March 12, 2019
Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram
Yichen Wu, Yilin Luo, Gunvant Chaudhari, et al.
Radiology
|
July 19, 2022
Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans
Joshua Vic Chen, Gunvant Chaudhari, Christopher P Hess, et al.
BMC Medical Imaging
|
September 28, 2024
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
Adrian Serapio, Gunvant Chaudhari, Cody Savage, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
October 10, 2023
Hypersensitivity to Distractors in Fragile X Syndrome from Loss of Modulation of Cortical VIP Interneurons
Noorhan Rahmatullah, Lauren M Schmitt, Lisa De Stefano, et al.
Scientific Reports
|
February 25, 2024
Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset
Joshua V Chen, Yi Li, Felicia Tang, et al.
Radiology. Artificial Intelligence
|
July 10, 2024
Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE)
Christopher O Lew, Evan Calabrese, Joshua V Chen, et al.
BMC Medical Imaging
|
July 2, 2025
Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy
Masha Bondarenko, Jianxiang Zhang, Ulysis Hugo Baal, et al.
Page
of 1