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Pranav Warman

Showing results (1-10 of 9) with videos related to

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Neuroradiology|November 10, 2021
Identification of successful cerebral reperfusions (mTICI ≥2b) using an artificial intelligence strategyGabriel Neves, Pranav Warman, Tulio Bueso, et al.
Radiology. Artificial Intelligence|March 12, 2025
Open-Weight Language Models and Retrieval-Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports: Assessment of Approaches and ParametersMohamed Sobhi Jabal, Pranav Warman, Jikai Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Interpretable Artificial Intelligence for COVID-19 Diagnosis from Chest CT Reveals Specificity of Ground-Glass OpacitiesAnmol Warman, Pranav Warman, Ayushman Sharma, et al.
AJNR. American Journal of Neuroradiology|November 14, 2024
Development and Evaluation of Automated Artificial Intelligence-Based Brain Tumor Response Assessment in Patients with GlioblastomaJikai Zhang, Dominic LaBella, Dylan Zhang, et al.
Neuromodulation : Journal of the International Neuromodulation Society|July 19, 2025
A Competency-Based Approach to Functional Neurosurgery Training: Insights From the Surgical Autonomy ProgramKatrina Hon, Pranav Warman, Vishal Venkatraman, et al.
Cureus|November 16, 2022
Deep Learning System Boosts Radiologist Detection of Intracranial HemorrhageRoshan Warman, Anmol Warman, Pranav Warman, et al.
Emergency Medicine Journal : EMJ|January 17, 2024
Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levelsPranav Warman, Anmol Warman, Roshan Warman, et al.
Arxiv|August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial MeningiomaDominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neuroradiology|November 10, 2021
Identification of successful cerebral reperfusions (mTICI ≥2b) using an artificial intelligence strategyGabriel Neves, Pranav Warman, Tulio Bueso, et al.
Radiology. Artificial Intelligence|March 12, 2025
Open-Weight Language Models and Retrieval-Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports: Assessment of Approaches and ParametersMohamed Sobhi Jabal, Pranav Warman, Jikai Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Interpretable Artificial Intelligence for COVID-19 Diagnosis from Chest CT Reveals Specificity of Ground-Glass OpacitiesAnmol Warman, Pranav Warman, Ayushman Sharma, et al.
AJNR. American Journal of Neuroradiology|November 14, 2024
Development and Evaluation of Automated Artificial Intelligence-Based Brain Tumor Response Assessment in Patients with GlioblastomaJikai Zhang, Dominic LaBella, Dylan Zhang, et al.
Neuromodulation : Journal of the International Neuromodulation Society|July 19, 2025
A Competency-Based Approach to Functional Neurosurgery Training: Insights From the Surgical Autonomy ProgramKatrina Hon, Pranav Warman, Vishal Venkatraman, et al.
Cureus|November 16, 2022
Deep Learning System Boosts Radiologist Detection of Intracranial HemorrhageRoshan Warman, Anmol Warman, Pranav Warman, et al.
Emergency Medicine Journal : EMJ|January 17, 2024
Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levelsPranav Warman, Anmol Warman, Roshan Warman, et al.
Arxiv|August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial MeningiomaDominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
Pageof 1