Curt Langlotz

According to our database, Curt Langlotz authored at least 87 papers between 1983 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback.

Dennis Hein, Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis, Arne Edward Michalson, Christian Bluethgen, Hyun Joo Shin, Curtis P. Langlotz, Akshay S. Chaudhari

CoRR, 2024

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!".

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck

CoRR, 2024

LieRE: Generalizing Rotary Position Encodings.

Sophie Ostmeier, Brian Axelrod, Michael E. Moseley, Akshay Chaudhari, Curtis P. Langlotz

CoRR, 2024

Merlin: A Vision Language Foundation Model for 3D Computed Tomography.

Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari

CoRR, 2024

CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

Pierre J. Chambon, Jean-Benoit Delbrouck, Thomas Sounack, Shih-Cheng Huang, Zhihong Chen, Maya Varma, Steven QH Truong, Chu The Chuong, Curtis P. Langlotz

CoRR, 2024

GREEN: Generative Radiology Report Evaluation and Error Notation.

Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson, Michael E. Moseley, Curtis P. Langlotz, Akshay S. Chaudhari, Jean-Benoit Delbrouck

CoRR, 2024

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation.

Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu

CoRR, 2024

Unlocking Robust Segmentation Across All Age Groups via Continual Learning.

Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis

CoRR, 2024

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon

CoRR, 2024

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, 2024

GREEN: Generative Radiology Report Evaluation and Error Notation.

Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Md, Michael E. Moseley, Curtis P. Langlotz, Akshay Chaudhari, Jean-Benoit Delbrouck

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!".

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports.

Jean-Benoit Delbrouck, Pierre J. Chambon, Zhihong Chen, Maya Varma, Andrew Johnston, Louis Blankemeier, Dave Van Veen, Tan Bui, Steven Quoc Hung Truong, Curtis P. Langlotz

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Evaluating progress in automatic chest X-ray radiology report generation.

Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, Pranav Rajpurkar

Patterns, September, 2023

Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports.

Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz

J. Digit. Imaging, February, 2023

Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods.

Pierre J. Chambon, Christopher Wu, Jackson M. Steinkamp, Jason Adleberg, Tessa Sundaram Cook, Curtis P. Langlotz

J. Am. Medical Informatics Assoc., January, 2023

A Generalizable Deep Learning System for Cardiac MRI.

Rohan Shad, Cyril Zakka, Dhamanpreet Kaur, Robyn Fong, Ross Warren Filice, John Mongan, Kimberly Kallianos, Nishith Khandwala, David Eng, Matthew Leipzig, Walter Witschey, Alejandro de Feria, Victor Ferrari, Euan A. Ashley, Michael A. Acker, Curtis P. Langlotz, William Hiesinger

CoRR, 2023

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis.

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries

CoRR, 2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.

CoRR, 2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.

Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari

CoRR, 2023

Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification.

Cara Van Uden, Christian Bluethgen, Maayane Attias, Malgorzata Polacin, Haiwei Henry Guo, Neha Simha, Rishi Raj, Curtis P. Langlotz

CoRR, 2023

How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems.

Cara Van Uden, Jeremy Irvin, Mars Huang, Nathan Dean, Jason Carr, Andrew Y. Ng, Curtis P. Langlotz

CoRR, 2023

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms.

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A case for reframing automated medical image classification as segmentation.

Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RaLEs: a Benchmark for Radiology Language Evaluations.

Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel L. Rubin, Andreas M. Loening, Curtis P. Langlotz, Akshay Chaudhari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays.

Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay S. Chaudhari

Proceedings of the Medical Imaging with Deep Learning, 2023

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data.

Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models.

Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay Chaudhari, John M. Pauly

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization.

Jean-Benoit Delbrouck, Maya Varma, Pierre J. Chambon, Curtis P. Langlotz

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities.

Zhihong Chen, Maya Varma, Xiang Wan, Curtis P. Langlotz, Jean-Benoit Delbrouck

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation.

Pierre J. Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier van der Sluijs, Malgorzata Polacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari

CoRR, 2022

Toward expanding the scope of radiology report summarization to multiple anatomies and modalities.

Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz

CoRR, 2022

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains.

Pierre J. Chambon, Christian Bluethgen, Curtis P. Langlotz, Akshay Chaudhari

CoRR, 2022

Contrastive Learning of Medical Visual Representations from Paired Images and Text.

Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz

Proceedings of the Machine Learning for Healthcare Conference, 2022

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.

Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence.

Curtis P. Langlotz, Thomas Wang, Tina Hernandez-Boussard, Irene Dankwa-Mullan

Proceedings of the AMIA 2022, 2022

ViLMedic: a framework for research at the intersection of vision and language in medical AI.

Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Automated coronary calcium scoring using deep learning with multicenter external validation.

David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel

npj Digit. Medicine, 2021

Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging.

Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger

Nat. Mach. Intell., 2021

Biomedical and clinical English model packages for the Stanza Python NLP library.

Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz

J. Am. Medical Informatics Assoc., 2021

Simulating time to event prediction with spatiotemporal echocardiography deep learning.

Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Kate M. Callon, Michelle C. Li, Jeffrey J. Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger

CoRR, 2021

Medical Imaging and Machine Learning.

Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger

CoRR, 2021

Predicting post-operative right ventricular failure using video-based deep learning.

Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Miguel Castro, Ashrith Guha, Eddie Suarez, Stefan Jovinge, Sangjin Lee, Theodore Boeve, Myriam Amsallem, Xiu Tang, Francois Haddad, Yasuhiro Shudo, Y. Joseph Woo, Jeffrey J. Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger

CoRR, 2021

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre J. Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.

Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cut out the annotator, keep the cutout: better segmentation with weak supervision.

Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré

Proceedings of the 9th International Conference on Learning Representations, 2021

Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain.

Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, Chaitanya Shivade, Curtis P. Langlotz, Dina Demner-Fushman

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020

Impact of a deep learning assistant on the histopathologic classification of liver cancer.

Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen

npj Digit. Medicine, 2020

The Project Baseline Health Study: a step towards a broader mission to map human health.

Kristine Arges, Themistocles Assimes, Vikram Bajaj, Suresh Balu, Mustafa R. Bashir, Laura Beskow, Rosalia Blanco, Robert M. Califf, Paul Campbell, Larry Carin, Victoria Christian, Scott Cousins, Millie Das, Marie Dockery, Pamela S. Douglas, Ashley Dunham, Julie Eckstrand, Dominik Fleischmann, Emily Ford, Elizabeth Fraulo, John French, Sanjiv S. Gambhir, Geoffrey S. Ginsburg, Robert C. Green, Francois Haddad, Adrian Hernandez, John Hernandez, Erich S. Huang, Glenn Jaffe, Daniel King, Lynne H. Koweek, Curtis P. Langlotz, Yaping J. Liao, Kenneth W. Mahaffey, Kelly Marcom, William J. Marks, David Maron, Reid McCabe, Shannon McCall, Rebecca McCue, Jessica Mega, David Miller, Lawrence H. Muhlbaier, Rajan Munshi, L. Kristin Newby, Ezra Pak-Harvey, Bray Patrick-Lake, Michael Pencina, Eric D. Peterson, Fátima Rodriguez, Scarlet Shore, Svati Shah, Steven Shipes, George Sledge, Susie Spielman, Ryan Spitler, Terry Schaack, Geeta Swamy, Martin J. Willemink, Charlene A. Wong

npj Digit. Medicine, 2020

Video-based AI for beat-to-beat assessment of cardiac function.

David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph Ebinger, Curtis P. Langlotz, Paul A. Heidenreich, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou

Nat., 2020

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.

Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky

CoRR, 2020

SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans.

Saeed Seyyedi, Margaret J. Wong, Debra M. Ikeda, Curtis P. Langlotz

CoRR, 2020

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports.

Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.

Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren

npj Digit. Medicine, 2019

Human-machine partnership with artificial intelligence for chest radiograph diagnosis.

Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren

npj Digit. Medicine, 2019

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.

Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin

CoRR, 2019

Cross-type biomedical named entity recognition with deep multi-task learning.

Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han

Bioinform., 2019

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

Imon Banerjee, Yuan Ling, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian E. Chapman, Timothy Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren

Artif. Intell. Medicine, 2019

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes.

Hannu T. Huhdanpaa, W. Katherine Tan, Sean D. Rundell, Pradeep Suri, Falgun H. Chokshi, Bryan A. Comstock, Patrick J. Heagerty, Kathryn T. James, Andrew L. Avins, Srdjan S. Nedeljkovic, David R. Nerenz, David F. Kallmes, Patrick H. Luetmer, Karen J. Sherman, Nancy L. Organ, Brent Griffith, Curtis P. Langlotz, David Carrell, Saeed Hassanpour, Jeffrey G. Jarvik

J. Digit. Imaging, 2018

The LOINC RSNA radiology playbook - a unified terminology for radiology procedures.

Daniel J. Vreeman, Swapna Abhyankar, Kenneth C. Wang, Chris Carr, Beverly Collins, Daniel L. Rubin, Curtis P. Langlotz

J. Am. Medical Informatics Assoc., 2018

Expanding a radiology lexicon using contextual patterns in radiology reports.

Bethany Percha, Yuhao Zhang, Selen Bozkurt, Daniel L. Rubin, Russ B. Altman, Curtis P. Langlotz

J. Am. Medical Informatics Assoc., 2018

Learning to Summarize Radiology Findings.

Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz

Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing.

Saeed Hassanpour, Graham Bay, Curtis P. Langlotz

J. Digit. Imaging, 2017

Bone Tumor Diagnosis Using a Naïve Bayesian Model of Demographic and Radiographic Features.

Bao H. Do, Curtis P. Langlotz, Christopher F. Beaulieu

J. Digit. Imaging, 2017

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs.

Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Yi Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

CoRR, 2017

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

CoRR, 2017

The LOINC/RSNA Radiology Playbook: A unified terminology for radiology procedures.

Daniel J. Vreeman, Ken Wang, Chris Carr, Beverly Collins, Swapna Abhyankar, Jamalynne Deckard, Clement J. McDonald, Daniel L. Rubin, Curtis P. Langlotz

Proceedings of the AMIA 2017, 2017

2016

Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.

Saeed Hassanpour, Curtis P. Langlotz

J. Digit. Imaging, 2016

Health IT vendors and the academic community: The 2014 ACMI debate.

Alexa T. McCray, John P. Glaser, Ross Koppel, Curtis P. Langlotz, Jonathan C. Silverstein

J. Biomed. Informatics, 2016

Information extraction from multi-institutional radiology reports.

Saeed Hassanpour, Curtis P. Langlotz

Artif. Intell. Medicine, 2016

2015

Conversion of Radiology Reporting Templates to the MRRT Standard.

Charles E. Kahn Jr., Brad W. Genereaux, Curtis P. Langlotz

J. Digit. Imaging, 2015

2012

Automated Detection of Critical Results in Radiology Reports.

Paras Lakhani, Woojin Kim, Curtis P. Langlotz

J. Digit. Imaging, 2012

Extracting templates from radiology reports using sequence alignment.

Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar

Int. J. Data Min. Bioinform., 2012

2010

Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results.

Paras Lakhani, Curtis P. Langlotz

J. Digit. Imaging, 2010

2009

Radiologist Use of and Perceived Need for Patient Data Access.

William W. Boonn, Curtis P. Langlotz

J. Digit. Imaging, 2009

Improving language models for radiology speech recognition.

John M. Paulett, Curtis P. Langlotz

J. Biomed. Informatics, 2009

2008

From the Chair: The Top 10 Myths About Imaging Informatics Certification (January 2008-SIIM News).

Curtis P. Langlotz

J. Digit. Imaging, 2008

2006

Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS.

Paras Lakhani, Elliot D. Menschik, Alberto F. Goldszal, Joseph P. Murray, Mark G. Weiner, Curtis P. Langlotz

J. Digit. Imaging, 2006

2002

The Effect of PACS on the Time Required for Technologists to Produce Radiographic Images in the Emergency Department Radiology Suite.

Regina O. Redfern, Curtis P. Langlotz, Stephanie Abbuhl, M. Polansky, Steven C. Horii, Harold L. Kundel

J. Digit. Imaging, 2002

2000

Enhancing the expressiveness and usability of structured image reporting systems.

Curtis P. Langlotz, L. Meininger

Proceedings of the AMIA 2000, 2000

1995

A methodology for the economic assessment of picture archiving and communication systems.

Curtis P. Langlotz, Orit Even-Shoshan, Sridhar S. Seshadri, Inna Brikman, Sheel Kishore, Harold L. Kundel, J. Sanford Schwartz

J. Digit. Imaging, 1995

1989

Logic and Decision-Theoretic Methods for Planning under Uncertainty.

Curtis P. Langlotz, Edward H. Shortliffe

AI Mag., 1989

1986

Using Decision Theory to Justify Heuristics.

Curtis P. Langlotz, Edward H. Shortliffe, Lawrence M. Fagan

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

A Framework for Comparing Alternative Formalisms for Plausible Reasoning.

Eric Horvitz, David Heckerman, Curtis P. Langlotz

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985

ONYX: An Architecture for Planning in Uncertain Environments.

Curtis P. Langlotz, Lawrence M. Fagan, Samson W. Tu, John Williams, Branimir Sikic

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1983

Adapting a Consultation System to Critique User Plans.

Curtis P. Langlotz, Edward H. Shortliffe

Int. J. Man Mach. Stud., 1983