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Author Details

Bernardo C Bizzo
Massachusetts General Hospital and Harvard Medical School
2012
50
13
PMIDPaper TitleJournal TitlePublished Year
36125375Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT.Radiology2023
37019698Radiologist-Trained AI Model for Identifying Suboptimal Chest-Radiographs.Acad Radiol2023
36922109Addressing the Challenges of Implementing Artificial Intelligence Tools in Clinical Practice: Principles From Experience.J Am Coll Radiol2023
36610270Automatic segmentation and measurement of tracheal collapsibility in tracheomalacia.Clin Imaging2023
36832266Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm.Diagnostics (Basel)2023
36604467Head CT deep learning model is highly accurate for early infarct estimation.Sci Rep2023
36331701Performance of threshold-based stone segmentation and radiomics for determining the composition of kidney stones from single-energy CT.Jpn J Radiol2023
34657812Artificial Intelligence has Similar Performance to Subjective Assessment of Emphysema Severity on Chest CT.Acad Radiol2022
35576929Use of Artificial Intelligence in Clinical Neurology.Semin Neurol2022
35486572Validation pipeline for machine learning algorithm assessment for multiple vendors.PLoS One2022
36520432Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.JAMA Netw Open2022
36044215Association of Artificial Intelligence-Aided Chest Radiograph Interpretation With Reader Performance and Efficiency.JAMA Netw Open2022
36140488Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study.Diagnostics (Basel)2022
35866818Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.Medicine (Baltimore)2022
36292071Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings.Diagnostics (Basel)2022
36010194Radiologist-Trained and -Tested (R2.2.4) Deep Learning Models for Identifying Anatomical Landmarks in Chest CT.Diagnostics (Basel)2022
35916673Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?Radiology2022
36154286Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?Radiology2022
33583714Computer-assisted Reporting and Decision Support Increases Compliance with Follow-up Imaging and Hormonal Screening of Adrenal Incidentalomas.Acad Radiol2022
35316621Predictive values of AI-based triage model in suboptimal CT pulmonary angiography.Clin Imaging2022
35183381Imaging Information Overload: Quantifying the Burden of Interpretive and Non-Interpretive Tasks for Computed Tomography Angiography for Aortic Pathologies in Emergency Radiology.Curr Probl Diagn Radiol2022
35122719Authors' Response.J Am Coll Radiol2022
34969610FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies.Acad Radiol2022
35140277Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging.Sci Rep2022
34836775Complex Relationship Between Artificial Intelligence and CT Radiation Dose.Acad Radiol2022
32857919Anterior Insular Resting-State Functional Connectivity is Related to Cognitive Reserve in Multiple Sclerosis.J Neuroimaging2021
33852324Computer-Assisted Reporting and Decision Support in Standardized Radiology Reporting for Cancer Imaging.JCO Clin Cancer Inform2021
33711739Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.Med Image Anal2021
33846041A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.Eur J Radiol2021
33894582Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: Mitigating key radioprotection issues.Phys Med2021
33634416Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.J Digit Imaging2021
34526699Federated learning for predicting clinical outcomes in patients with COVID-19.Nat Med2021
34637776Lessons Learned From the Front Lines of Artificial Intelligence Implementation.J Am Coll Radiol2021
34689872Artificial Intelligence Enabling Radiology Reporting.Radiol Clin North Am2021
34624236Data Management in Artificial Intelligence-Assisted Radiology Reporting.J Am Coll Radiol2021
34350408A Deep Learning-based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience.Radiol Artif Intell2021
33242099Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study.Abdom Radiol (NY)2021
33442676Federated Learning used for predicting outcomes in SARS-COV-2 patients.Res Sq2021
33441578Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.Sci Rep2021
32995811Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19.medRxiv2020
33778612CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia.Radiol Cardiothorac Imaging2020
31950302Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets.J Digit Imaging2020
33044938Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.IEEE J Biomed Health Inform2020
31492414Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.J Am Coll Radiol2019
29629796Advances in Pancreatic CT Imaging.AJR Am J Roentgenol2018
27634732Cortical Thickness and Episodic Memory Impairment in Systemic Lupus Erythematosus.J Neuroimaging2017
28648871Creation of an Open Framework for Point-of-Care Computer-Assisted Reporting and Decision Support Tools for Radiologists.J Am Coll Radiol2017
28723279Magnetization Transfer Imaging in Treatment-resistant Depression: Structural Evidence of a Functional Derangement That Might Help Guide Therapy?Radiology2017
23603162Neuropsychiatric lupus: classification criteria in neuroimaging studies.Can J Neurol Sci2013
22723064Intracranial syphilitic gumma mimicking a brain stem glioma.AJNR Am J Neuroradiol2012
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Collaborators

Mannudeep K Kalra
Massachusetts General Hospital, Harvard Medical School
Co-authored papers 23
Keith J Dreyer
Chief Science Officer ACR Data Science Institute, Massachusetts General Hospital
Co-authored papers 21
Shadi Ebrahimian
Massachusetts General Hospital and Harvard Medical School
Co-authored papers 18
Subba R Digumarthy
Massachusetts General Hospital, USA Harvard Medical School
Co-authored papers 15
Fatemeh Homayounieh
Massachusetts General Hospital and the Harvard Medical School
Co-authored papers 8
Felipe C Kitamura
Universidade Federal de Sao Paulo
Co-authored papers 7
Quanzheng Li
Massachusetts General Hospital
Co-authored papers 6
Dufan Wu
Massachusetts General Hospital
Co-authored papers 6
Yu Rim Lee
Kyungpook National University
Co-authored papers 5
Soo Young Park
Kyungpook National University
Co-authored papers 5
Won Young Tak
Kyungpook National University
Co-authored papers 5
Min Kyu Kang
Yeungnam University College of Medicine
Co-authored papers 5
Jung Gil Park
Yeungnam University Hospital
Co-authored papers 5
Rosa Babaei
Iran University of Medical Sciences
Co-authored papers 5
Michael H Lev
Massachusetts General Hospital, Harvard Medical School
Co-authored papers 4
Kyungsang Kim
Massachusetts General Hospital
Co-authored papers 4
Alessandro Carriero
Universita del Piemonte Orientale
Co-authored papers 3
Jayashree Kalpathy-Cramer
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
Co-authored papers 3
Marcio Aloisio Bezerra Cavalcanti Rockenbach
Center for Clinical Data Science
Co-authored papers 3
Preetham Putha
Co-authored papers 3
Jiahui Guan
University of California Davis
Co-authored papers 3
Gustavo C A Corradi
Sirio Libanes Hospital
Co-authored papers 3
Luca Saba
Azienda Ospedaliero Universitaria (A.O.U.) of Cagliari-Polo di Monserrato
Co-authored papers 3
Byung Seok Kim
Catholic University of Daegu School of Medicine
Co-authored papers 3
Walter F Wiggins
Center for Advanced Magnetic Resonance Development (M.R.B.), Duke University
Co-authored papers 3
Aoxiao Zhong
Massachusetts General Hospital, Harvard University
Co-authored papers 3
Tony Mazzulli
Mount Sinai Health System and University Health Network
Co-authored papers 2
Amilcare Gentili
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