Radiology. Artificial intelligence

Keyphrases

Publications

volume 6, number 4, 2024

Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, James M Holcomb, Divya Reddy, Niloufar Saadat, Kimmo J Hatanpaa, Toral R Patel, Baowei Fei, Matthew D Lee, Rajan Jain, Richard J Bruce, Marco Aurélio Pinho de Oliveira, Ananth J Madhuranthakam, Joseph A Maldjian
Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma. Radiology. Artificial intelligence 6 (4) (2024)
Bastien Le Guellec, Alexandre Lefèvre, Charlotte Geay, Lucas Shorten, Cyril Bruge, Lotfi Hacein-Bey, Phillippe Amouyel, Jean-Pierre Pruvo, Gregory Kuchcinski, Aghilès Hamroun
Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports. Radiology. Artificial intelligence 6 (4) (2024)
Natally Horvat, Nickolas Papanikolaou, Dow-Mu Koh
Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use. 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)
Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff
Improving Automated Hemorrhage Detection at Sparse-View CT via U-Net-based Artifact Reduction. Radiology. Artificial intelligence 6 (4) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Mana Moassefi, Bradley J Erickson
Bridging Pixels to Genes. Radiology. Artificial intelligence 6 (4) (2024)
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young, Nouman S Chaudhry, Peter Harris, Lucy M Warren
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology. Artificial intelligence 6 (4) (2024)
Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, James M Holcomb, Divya Reddy, Niloufar Saadat, Kimmo J Hatanpaa, Toral R Patel, Baowei Fei, Matthew D Lee, Rajan Jain, Richard J Bruce, Marco Aurélio Pinho de Oliveira, Ananth J Madhuranthakam, Joseph A Maldjian
Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma. Radiology. Artificial intelligence 6 (4) (2024)
Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff
Improving Automated Hemorrhage Detection at Sparse-View CT via U-Net-based Artifact Reduction. Radiology. Artificial intelligence 6 (4) (2024)
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young, Nouman S Chaudhry, Peter Harris, Lucy M Warren
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology. Artificial intelligence 6 (4) (2024)
Arun Somasundaram, Mingming Wu, Anna Reik, Selina Rupp, Jessie Han, Stella Naebauer, Daniela Junker, Lisa Patzelt, Meike Wiechert, Yu Zhao, Daniel Ruckert, Hans Hauner, Christina Holzapfel, Dimitrios C Karampinos
Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction at MRI Using Automated nnU-Net-based Segmentation. Radiology. Artificial intelligence 6 (4) (2024)
James J J Condon, Vincent Quoc-Nam Trinh, Kelly A Hall, Michelle Reintals, Andrew S Holmes, Lauren Oakden-Rayner, Lyle J Palmer
Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography. Radiology. Artificial intelligence 6 (4) (2024)
Kengo Takahashi, Takuma Usuzaki, Ryusei Inamori
Vision Transformer-based Deep Learning Models Accelerate Further Research for Predicting Neurosurgical Intervention. Radiology. Artificial intelligence 6 (4) (2024)
Nabile M Safdar, Alina Galaria
From Nicki Minaj to Neuroblastoma: What Rigorous Approaches to Rhythms and Radiomics Have in Common. Radiology. Artificial intelligence 6 (4) (2024)
Mohammad-Kasim Fassia, Adithiya Balasubramanian, Sungmin Woo, Hebert Alberto Vargas, Hedvig Hricak, Ender Konukoglu, Anton Sebastian Becker
Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review. Radiology. Artificial intelligence 6 (4) (2024)
Tugba Akinci D'Antonoli, Christian Bluethgen
A New Era of Text Mining in Radiology with Privacy-Preserving LLMs. Radiology. Artificial intelligence 6 (4) (2024)
Brandon K K Fields, Evan Calabrese, John T Mongan, Soonmee Cha, Christopher P Hess, Leo P Sugrue, Susan M Chang, Tracy L Luks, Javier E Villanueva-Meyer, Andreas M Rauschecker, Jeffrey D Rudie
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset. Radiology. Artificial intelligence 6 (4) (2024)
Arun Somasundaram, Mingming Wu, Anna Reik, Selina Rupp, Jessie Han, Stella Naebauer, Daniela Junker, Lisa Patzelt, Meike Wiechert, Yu Zhao, Daniel Ruckert, Hans Hauner, Christina Holzapfel, Dimitrios C Karampinos
Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction at MRI Using Automated nnU-Net-based Segmentation. Radiology. Artificial intelligence 6 (4) (2024)
Brandon K K Fields, Evan Calabrese, John T Mongan, Soonmee Cha, Christopher P Hess, Leo P Sugrue, Susan M Chang, Tracy L Luks, Javier E Villanueva-Meyer, Andreas M Rauschecker, Jeffrey D Rudie
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset. Radiology. Artificial intelligence 6 (4) (2024)
Natally Horvat, Nickolas Papanikolaou, Dow-Mu Koh
Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use. Radiology. Artificial intelligence 6 (4) (2024)
Diana Veiga-Canuto, Matías Fernández Patón, Leonor Cerdà Alberich, Ana Jiménez Pastor, Armando Gomis-Maya, Jose Miguel Carot Sierra, Cinta Sangüesa Nebot, Blanca Martínez de Las Heras, Ulrike Pötschger, Sabine Taschner-Mandl, Emanuele Neri, Adela Cañete Nieto, Ruth Ladenstein, Barbara Hero, Ángel Alberich-Bayarri, Luis Martí-Bonmatí
Reproducibility Analysis of Radiomic Features on T2-weighted MR Images after Processing and Segmentation Alterations in Neuroblastoma Tumors. Radiology. Artificial intelligence 6 (4) (2024)
Mohammad-Kasim Fassia, Adithiya Balasubramanian, Sungmin Woo, Hebert Alberto Vargas, Hedvig Hricak, Ender Konukoglu, Anton Sebastian Becker
Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review. Radiology. Artificial intelligence 6 (4) (2024)
James J J Condon, Vincent Quoc-Nam Trinh, Kelly A Hall, Michelle Reintals, Andrew S Holmes, Lauren Oakden-Rayner, Lyle J Palmer
Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography. Radiology. Artificial intelligence 6 (4) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Ali S Tejani, Michail E Klontzas, Anthony A Gatti, John T Mongan, Linda Moy, Saikanth Reddy Deepalam, Charles E Kahn, null null
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiology. Artificial intelligence 6 (4) (2024)
Diana Veiga-Canuto, Matías Fernández Patón, Leonor Cerdà Alberich, Ana Jiménez Pastor, Armando Gomis-Maya, Jose Miguel Carot Sierra, Cinta Sangüesa Nebot, Blanca Martínez de Las Heras, Ulrike Pötschger, Sabine Taschner-Mandl, Emanuele Neri, Adela Cañete Nieto, Ruth Ladenstein, Barbara Hero, Ángel Alberich-Bayarri, Luis Martí-Bonmatí
Reproducibility Analysis of Radiomic Features on T2-weighted MR Images after Processing and Segmentation Alterations in Neuroblastoma Tumors. Radiology. Artificial intelligence 6 (4) (2024)
Alexandre Cadrin-Chênevert
Navigating Clinical Variability: Transfer Learning's Impact on Imaging Model Performance. Radiology. Artificial intelligence 6 (4) (2024)
Bastien Le Guellec, Alexandre Lefèvre, Charlotte Geay, Lucas Shorten, Cyril Bruge, Lotfi Hacein-Bey, Phillippe Amouyel, Jean-Pierre Pruvo, Gregory Kuchcinski, Aghilès Hamroun
Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports. 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)
Nabile M Safdar, Alina Galaria
From Nicki Minaj to Neuroblastoma: What Rigorous Approaches to Rhythms and Radiomics Have in Common. Radiology. Artificial intelligence 6 (4) (2024)
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young, Nouman S Chaudhry, Peter Harris, Lucy M Warren
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology. Artificial intelligence 6 (4) (2024)
Arun Somasundaram, Mingming Wu, Anna Reik, Selina Rupp, Jessie Han, Stella Naebauer, Daniela Junker, Lisa Patzelt, Meike Wiechert, Yu Zhao, Daniel Ruckert, Hans Hauner, Christina Holzapfel, Dimitrios C Karampinos
Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction at MRI Using Automated nnU-Net-based Segmentation. Radiology. Artificial intelligence 6 (4) (2024)

volume 6, number 5, 2024

Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M Summers
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. Radiology. Artificial intelligence 6 (5) (2024)
Felix Busch, Keno Kyrill Bressem, Phillip Suwalski, Lena Hoffmann, Stefan Markus Niehues, Denis Poddubnyy, Marcus R Makowski, Hugo J W L Aerts, Andrei Zhukov, Lisa C Adams
Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs. Radiology. Artificial intelligence 6 (5) (2024)
Jeffrey D Rudie, Maria Correia de Verdier
Advancing Pediatric Neuro-Oncology: Multi-institutional nnU-Net Segmentation of Medulloblastoma. Radiology. Artificial intelligence 6 (5) (2024)
Hoyeon Lee
Integrating Clinical Workflow for Breast Cancer Screening with AI. Radiology. Artificial intelligence 6 (5) (2024)
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Clare B Poynton, Kayhan Batmanghelich
Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning. Radiology. Artificial intelligence 6 (5) (2024)
Natália Alves, Kiran Vaidhya Venkadesh
Unveiling Disease Progression in Chest Radiographs through AI. Radiology. Artificial intelligence 6 (5) (2024)
Patricia P Rafful, Sara Reis Teixeira
Better AI for Kids: Learning from the AI-OPiNE Study. Radiology. Artificial intelligence 6 (5) (2024)
Lisa C Adams, Keno Kyrill Bressem
Chest Radiographs as Biological Clocks: Implications for Risk Stratification and Personalized Care. Radiology. Artificial intelligence 6 (5) (2024)
Alex M Aisen, Pedro S Rodrigues
Fluid Intelligence: AI's Role in Accurate Measurement of Ascites. Radiology. Artificial intelligence 6 (5) (2024)
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Clare B Poynton, Kayhan Batmanghelich
Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning. Radiology. Artificial intelligence 6 (5) (2024)
Eduardo Moreno Júdice De Mattos Farina, Leo Anthony Celi
Smartphone Imaging and AI: A Commentary on Cardiac Device Classification. Radiology. Artificial intelligence 6 (5) (2024)
Andrew James Del Gaizo, Thomas F Osborne, Troy Shahoumian, Robert H Sherrier
Deep Learning to Detect Intracranial Hemorrhage in a National Teleradiology Program and the Impact on Interpretation Time. Radiology. Artificial intelligence 6 (5) (2024)
Jong Hyuk Lee, Dongheon Lee, Michael T Lu, Vineet K Raghu, Jin Mo Goo, Yunhee Choi, Seung Ho Choi, Hyung Jin Kim
External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs. Radiology. Artificial intelligence 6 (5) (2024)
James H Thrall
Challenges of Implementing Artificial Intelligence-enabled Programs in the Clinical Practice of Radiology. Radiology. Artificial intelligence 6 (5) (2024)
Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M Summers
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. Radiology. Artificial intelligence 6 (5) (2024)
John D Mayfield, Dana Ataya, Mahmoud A Abdalah, Olya Stringfield, Marilyn M Bui, Natarajan Raghunand, Bethany L Niell, Issam El Naqa
Presurgical Upgrade Prediction of DCIS to Invasive Ductal Carcinoma Using Time-dependent Deep Learning Models with DCE MRI. Radiology. Artificial intelligence 6 (5) (2024)
Christopher O Lew, Evan Calabrese, Joshua Vic Chen, Felicia Tang, Gunvant Chaudhari, Amanda Lee, John Faro, Christopher M Traudt, Amit M Mathur, Robert C McKinstry, Jessica L Wisnowski, Andreas Rauschecker, Yvonne W Wu, Yi Li
Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE). Radiology. Artificial intelligence 6 (5) (2024)