Luciano M Prevedello (L M Prevedello)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Artificial Intelligence

Magnetic Resonance

Brain Metastases

Top Venues

Radiology. Artificial intelligence

AJNR. American journal of neuroradiology

Journal of medical imaging (Bellingham, Wash.)

Diagnostics (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Zixuan Hu, Markand Patel, Robyn L Ball, Hui Ming Lin, Luciano M Prevedello, Mitra Naseri, Shobhit Mathur, Robert Moreland, Jefferson Wilson, Christopher D Witiw, Kristen W Yeom, Qishen Ha, Darragh Hanley, Selim Seferbekov, Hao Chen, Philipp Singer, Christof Henkel, Pascal Pfeiffer, Ian Pan, Harshit Sheoran, Wuqi Li, Adam E Flanders, Felipe Campos Kitamura, Tyler Richards, Jason F Talbott, Ervin Sejdić, Errol Colak
Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center. Radiology. Artificial intelligence (2024)
Ghee Rye Lee, Adam E Flanders, Tyler Richards, Felipe Campos Kitamura, Errol Colak, Hui Ming Lin, Robyn L Ball, Jason F Talbott, Luciano M Prevedello
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiology. Artificial intelligence 6 (1) (2024)
Jefferson R Wilson, Luciano M Prevedello, Christopher D Witiw, Adam E Flanders, Errol Colak
Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence. Radiology. Artificial intelligence 6 (1) (2024)
Jefferson R Wilson, Luciano M Prevedello, Christopher D Witiw, Adam E Flanders, Errol Colak
Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence. Radiology. Artificial intelligence 6 (1) (2024)
Ghee Rye Lee, Adam E Flanders, Tyler Richards, Felipe Campos Kitamura, Errol Colak, Hui Ming Lin, Robyn L Ball, Jason F Talbott, Luciano M Prevedello
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiology. Artificial intelligence 6 (1) (2024)
Ghee Rye Lee, Adam E Flanders, Tyler Richards, Felipe Campos Kitamura, Errol Colak, Hui Ming Lin, Robyn L Ball, Jason F Talbott, Luciano M Prevedello
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiology. Artificial intelligence 6 (1) (2024)
Jefferson R Wilson, Luciano M Prevedello, Christopher D Witiw, Adam E Flanders, Errol Colak
Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence. Radiology. Artificial intelligence 6 (1) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Ghee Rye Lee, Adam E Flanders, Tyler Richards, Felipe Campos Kitamura, Errol Colak, Hui Ming Lin, Robyn L Ball, Jason F Talbott, Luciano M Prevedello
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiology. Artificial intelligence 6 (1) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence (2024)
Ghee Rye Lee, Adam E Flanders, Tyler Richards, Felipe Campos Kitamura, Errol Colak, Hui Ming Lin, Robyn L Ball, Jason F Talbott, Luciano M Prevedello
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiology. Artificial intelligence (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence (2024)
Guilherme Finger, Kyle C Wu, Joshua Vignolles-Jeong, Saniya S Godil, Ben G McGahan, Daniel C Kreatsoulas, Mohammad T Shujaat, Luciano M Prevedello, Daniel M Prevedello
A New Finding on Magnetic Resonance Imaging for Diagnosis of Hemifacial Spasm with High Accuracy and Interobserver Correlation. Brain sciences 13 (10) (2023)
Hui Ming Lin, Errol Colak, Tyler Richards, Felipe Campos Kitamura, Luciano M Prevedello, Jason F Talbott, Robyn L Ball, Ekim Gumeler, Kristen W Yeom, Mohammad Hamghalam, Amber L Simpson, Jasna Strika, Deniz Bulja, Salita Angkurawaranon, Almudena Pérez-Lara, María Isabel Gómez-Alonso, Johanna Ortiz Jiménez, Jacob J Peoples, Meng Law, Hakan Dogan, Emre Altinmakas, Ayda Youssef, Yasser Mahfouz, Jayashree Kalpathy-Cramer, Adam E Flanders, null null
The RSNA Cervical Spine Fracture CT Dataset. Radiology. Artificial intelligence 5 (5) (2023)
Daniel T Wagner, Luke Tilmans, Kevin Peng, Marilyn Niedermeier, Matt Rohl, Sean Ryan, Divya Yadav, Noah R Takacs, Krystle Garcia-Fraley, Mensur Koso, Engin Dikici, Luciano M Prevedello, Xuan V Nguyen
Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges. Diagnostics (Basel, Switzerland) 13 (16) (2023)
Xuan V Nguyen, Engin Dikici, Sema Candemir, Robyn L Ball, Luciano M Prevedello
Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features. Tomography (Ann Arbor, Mich.) 8 (4) (2022)
Kelvin A Wong, A Hatef, John L Ryu, Xuan V Nguyen, Mina S Makary, Luciano M Prevedello
An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI. AJNR. American journal of neuroradiology 44 (1) (2022)
Engin Dikici, Xuan V Nguyen, Matthew T Bigelow, John L Ryu, Luciano M Prevedello
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI Using Noisy Student-Based Training. Diagnostics (Basel, Switzerland) 12 (8) (2022)
Kelvin A Wong, A Hatef, John L Ryu, Xuan V Nguyen, Mina S Makary, Luciano M Prevedello
An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI. AJNR. American journal of neuroradiology 44 (1) (2022)
Kelvin A Wong, A Hatef, John L Ryu, Xuan V Nguyen, Mina S Makary, Luciano M Prevedello
An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI. AJNR. American journal of neuroradiology 44 (1) (2022)
Kelvin A Wong, A Hatef, John L Ryu, Xuan V Nguyen, Mina S Makary, Luciano M Prevedello
An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI. AJNR. American journal of neuroradiology 44 (1) (2022)
Kelvin A Wong, A Hatef, John L Ryu, Xuan V Nguyen, Mina S Makary, Luciano M Prevedello
An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI. AJNR. American journal of neuroradiology (2022)
Sema Candemir, Xuan V Nguyen, Les R Folio, Luciano M Prevedello
Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios. Radiology. Artificial intelligence 3 (6) (2021)
Walter F Wiggins, Felipe Campos Kitamura, Igor Santos, Luciano M Prevedello
Natural Language Processing of Radiology Text Reports: Interactive Text Classification. Radiology. Artificial intelligence 3 (4) (2021)
Engin Dikici, Matthew Bigelow, Richard D White, Barbaros Selnur Erdal, Luciano M Prevedello
Constrained generative adversarial network ensembles for sharable synthetic medical images. Journal of medical imaging (Bellingham, Wash.) 8 (2) (2021)
Errol Colak, Felipe Campos Kitamura, Stephen B Hobbs, Carol Chia Chia Wu, Matthew P Lungren, Luciano M Prevedello, Jayashree Kalpathy-Cramer, Robyn L Ball, George Shih, Anouk Stein, Safwan S Halabi, Emre Altinmakas, Meng Law, Parveen Kumar, Karam A Manzalawi, Dennis Charles Nelson Rubio, Jacob W Sechrist, Pauline Germaine, Eva Castro Lopez, Tomas Amerio, Pushpender Gupta, Manoj Jain, Fernando U Kay, Cheng Ting Lin, Saugata Sen, Jonathan Wesley Revels, Carola C Brussaard, John Mongan, null null
The RSNA Pulmonary Embolism CT Dataset. Radiology. Artificial intelligence 3 (2) (2021)
Sema Candemir, Xuan V Nguyen, Luciano M Prevedello, Matthew T Bigelow, Richard D White, Barbaros Selnur Erdal, null null
Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis. Journal of medical imaging (Bellingham, Wash.) 7 (4) (2020)
Engin Dikici, Matthew T Bigelow, Luciano M Prevedello, Richard D White, Barbaros Selnur Erdal
Integrating AI into radiology workflow: levels of research, production, and feedback maturity. Journal of medical imaging (Bellingham, Wash.) 7 (1) (2020)
Adam E Flanders, Luciano M Prevedello, George Shih, Safwan S Halabi, Jayashree Kalpathy-Cramer, Robyn L Ball, John T Mongan, Anouk Stein, Felipe Campos Kitamura, Matthew P Lungren, Gagandeep Choudhary, Lesley Cala, Luiz Otavio de Mattos Coelho, Monique A Mogensen, Fanny Morón, Elka Miller, Ichiro Ikuta, Vahe Zohrabian, Olivia McDonnell, Christie M Lincoln, Lubdha M Shah, David Joyner, Amit Kumar Agarwal, Ryan K Lee, Jaya Nath, null null
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology. Artificial intelligence 2 (3) (2020)
George Shih, Carol C Wu, Safwan S Halabi, Marc D Kohli, Luciano M Prevedello, Tessa S Cook, Arjun Sharma, Judith K Amorosa, Veronica Arteaga, Maya Galperin-Aizenberg, Ritu R Gill, Myrna C B Godoy, Stephen Hobbs, Jean Jeudy, Archana Laroia, Palmi N Shah, Dharshan Vummidi, Kavitha Yaddanapudi, Anouk Stein
Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia. Radiology. Artificial intelligence 1 (1) (2019)
Falgun H Chokshi, Adam E Flanders, Luciano M Prevedello, Curtis P Langlotz
Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology. Radiology. Artificial intelligence 1 (2) (2019)
Mutlu Demirer, Sema Candemir, Matthew T Bigelow, Sarah M Yu, Vikash Gupta, Luciano M Prevedello, Richard D White, Joseph S Yu, Rainer Grimmer, Michael Wels, Andreas Wimmer, Abdul H Halabi, Alvin Ihsani, Thomas P O'Donnell, Barbaros Selnur Erdal
A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence. Radiology. Artificial intelligence 1 (6) (2019)
Luciano M Prevedello, Safwan S Halabi, George Shih, Carol C Wu, Marc D Kohli, Falgun H Chokshi, Bradley J Erickson, Jayashree Kalpathy-Cramer, Katherine P Andriole, Adam E Flanders
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions. Radiology. Artificial intelligence 1 (1) (2019)