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ORCIDCurt Langlotz
Curtis P. Langlotz
Person information
- affiliation: Stanford University, Center for Artificial Intelligence in Medicine and Imaging, CA, USA
- affiliation: University of Pennsylvania, Philadelphia, USA
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2020 – today
- 2023
[j27]Pierre J. Chambon
, Christopher Wu, Jackson M. Steinkamp, Jason Adleberg, Tessa Sundaram Cook, Curtis P. Langlotz:
Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. J. Am. Medical Informatics Assoc. 30(2): 318-328 (2023)- [j26]Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz:
Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. J. Digit. Imaging 36(1): 164-177 (2023) - [i20]Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay Chaudhari:
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. CoRR abs/2301.12636 (2023) - 2022
- [c16]Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz:
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) 2022: 23-34 - [c15]Curtis P. Langlotz, Thomas Wang, Tina Hernandez-Boussard, Irene Dankwa-Mullan:
Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence. AMIA 2022 - [c14]Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz:
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. EMNLP (Findings) 2022: 4348-4360 - [c13]Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz:
Contrastive Learning of Medical Visual Representations from Paired Images and Text. MLHC 2022: 2-25 - [i19]Pierre J. Chambon, Christian Bluethgen, Curtis P. Langlotz, Akshay Chaudhari:
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains. CoRR abs/2210.04133 (2022) - [i18]Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz:
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. CoRR abs/2210.12186 (2022) - [i17]Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz:
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. CoRR abs/2211.08584 (2022) - [i16]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:
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. CoRR abs/2211.12737 (2022) - 2021
- [j25]Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and clinical English model packages for the Stanza Python NLP library. J. Am. Medical Informatics Assoc. 28(9): 1892-1899 (2021) - [j24]Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger:
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging. Nat. Mach. Intell. 3(11): 929-935 (2021) - [c12]Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, Chaitanya Shivade, Curtis P. Langlotz, Dina Demner-Fushman:
Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain. BioNLP@NAACL-HLT 2021: 74-85 - [c11]Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré:
Cut out the annotator, keep the cutout: better segmentation with weak supervision. ICLR 2021 - [c10]Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky:
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. NAACL-HLT 2021: 5288-5304 - [c9]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:
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. NeurIPS Datasets and Benchmarks 2021 - [i15]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:
Predicting post-operative right ventricular failure using video-based deep learning. CoRR abs/2103.00364 (2021) - [i14]Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger:
Medical Imaging and Machine Learning. CoRR abs/2103.01938 (2021) - [i13]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:
Simulating time to event prediction with spatiotemporal echocardiography deep learning. CoRR abs/2103.02583 (2021) - [i12]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:
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. CoRR abs/2106.14463 (2021) - 2020
- [j23]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:
Video-based AI for beat-to-beat assessment of cardiac function. Nat. 580(7802): 252-256 (2020) - [c8]Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz:
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. ACL 2020: 5108-5120 - [i11]Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library. CoRR abs/2007.14640 (2020) - [i10]Saeed Seyyedi, Margaret J. Wong, Debra M. Ikeda, Curtis P. Langlotz:
SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans. CoRR abs/2009.08563 (2020) - [i9]Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz:
Contrastive Learning of Medical Visual Representations from Paired Images and Text. CoRR abs/2010.00747 (2020) - [i8]Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky:
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. CoRR abs/2010.10042 (2020)
2010 – 2019
- 2019
- [j22]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:
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif. Intell. Medicine 97: 79-88 (2019) - [j21]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35(10): 1745-1752 (2019) - [c7]Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris 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:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI 2019: 590-597 - [i7]Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris 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:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. CoRR abs/1901.07031 (2019) - [i6]Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin:
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis. CoRR abs/1908.09067 (2019) - [i5]Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz:
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. CoRR abs/1911.02541 (2019) - 2018
- [j20]Bethany Percha, Yuhao Zhang, Selen Bozkurt, Daniel L. Rubin, Russ B. Altman, Curtis P. Langlotz:
Expanding a radiology lexicon using contextual patterns in radiology reports. J. Am. Medical Informatics Assoc. 25(6): 679-685 (2018) - [j19]Daniel J. Vreeman, Swapna Abhyankar, Kenneth C. Wang, Chris Carr, Beverly Collins, Daniel L. Rubin, Curtis P. Langlotz:
The LOINC RSNA radiology playbook - a unified terminology for radiology procedures. J. Am. Medical Informatics Assoc. 25(7): 885-893 (2018) - [j18]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:
Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes. J. Digit. Imaging 31(1): 84-90 (2018) - [c6]Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz:
Learning to Summarize Radiology Findings. Louhi@EMNLP 2018: 204-213 - [i4]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR abs/1801.09851 (2018) - [i3]Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz:
Learning to Summarize Radiology Findings. CoRR abs/1809.04698 (2018) - 2017
- [j17]Saeed Hassanpour, Graham Bay, Curtis P. Langlotz:
Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing. J. Digit. Imaging 30(3): 314-322 (2017) - [j16]Bao H. Do, Curtis P. Langlotz, Christopher F. Beaulieu:
Bone Tumor Diagnosis Using a Naïve Bayesian Model of Demographic and Radiographic Features. J. Digit. Imaging 30(5): 640-647 (2017) - [c5]Daniel J. Vreeman, Ken Wang, Chris Carr, Beverly Collins, Swapna Abhyankar, Jamalynne Deckard, Clement J. McDonald, Daniel L. Rubin, Curtis P. Langlotz:
The LOINC/RSNA Radiology Playbook: A unified terminology for radiology procedures. AMIA 2017 - [i2]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:
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR abs/1711.05225 (2017) - [i1]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:
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. CoRR abs/1712.06957 (2017) - 2016
- [j15]Saeed Hassanpour, Curtis P. Langlotz:
Information extraction from multi-institutional radiology reports. Artif. Intell. Medicine 66: 29-39 (2016) - [j14]Alexa T. McCray, John P. Glaser, Ross Koppel, Curtis P. Langlotz, Jonathan C. Silverstein:
Health IT vendors and the academic community: The 2014 ACMI debate. J. Biomed. Informatics 60: 365-375 (2016) - [j13]Saeed Hassanpour, Curtis P. Langlotz:
Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository. J. Digit. Imaging 29(1): 59-62 (2016) - 2015
- [j12]Charles E. Kahn Jr., Brad W. Genereaux, Curtis P. Langlotz:
Conversion of Radiology Reporting Templates to the MRRT Standard. J. Digit. Imaging 28(5): 528-536 (2015) - 2012
- [j11]Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar:
Extracting templates from radiology reports using sequence alignment. Int. J. Data Min. Bioinform. 6(6): 633-650 (2012) - [j10]Paras Lakhani, Woojin Kim, Curtis P. Langlotz:
Automated Detection of Critical Results in Radiology Reports. J. Digit. Imaging 25(1): 30-36 (2012) - 2010
- [j9]Paras Lakhani, Curtis P. Langlotz:
Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results. J. Digit. Imaging 23(6): 647-657 (2010)
2000 – 2009
- 2009
- [j8]John M. Paulett, Curtis P. Langlotz:
Improving language models for radiology speech recognition. J. Biomed. Informatics 42(1): 53-58 (2009) - [j7]William W. Boonn, Curtis P. Langlotz:
Radiologist Use of and Perceived Need for Patient Data Access. J. Digit. Imaging 22(4): 357-362 (2009) - 2008
- [j6]Curtis P. Langlotz:
From the Chair: The Top 10 Myths About Imaging Informatics Certification (January 2008-SIIM News). J. Digit. Imaging 21(1): 1-2 (2008) - 2006
- [j5]Paras Lakhani, Elliot D. Menschik, Alberto F. Goldszal, Joseph P. Murray, Mark G. Weiner, Curtis P. Langlotz:
Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS. J. Digit. Imaging 19(1): 52-68 (2006) - 2002
- [j4]Regina O. Redfern, Curtis P. Langlotz, Stephanie Abbuhl, M. Polansky, Steven C. Horii, Harold L. Kundel:
The Effect of PACS on the Time Required for Technologists to Produce Radiographic Images in the Emergency Department Radiology Suite. J. Digit. Imaging 15(3): 153-160 (2002) - 2000
- [c4]Curtis P. Langlotz, L. Meininger:
Enhancing the expressiveness and usability of structured image reporting systems. AMIA 2000
1990 – 1999
- 1995
- [j3]Curtis P. Langlotz, Orit Even-Shoshan, Sridhar S. Seshadri, Inna Brikman, Sheel Kishore, Harold L. Kundel, J. Sanford Schwartz:
A methodology for the economic assessment of picture archiving and communication systems. J. Digit. Imaging 8(2): 95-102 (1995)
1980 – 1989
- 1989
- [j2]Curtis P. Langlotz, Edward H. Shortliffe:
Logic and Decision-Theoretic Methods for Planning under Uncertainty. AI Mag. 10(1): 39-47 (1989) - 1986
- [c3]Eric Horvitz, David Heckerman, Curtis P. Langlotz:
A Framework for Comparing Alternative Formalisms for Plausible Reasoning. AAAI 1986: 210-214 - [c2]Curtis P. Langlotz, Edward H. Shortliffe, Lawrence M. Fagan:
Using Decision Theory to Justify Heuristics. AAAI 1986: 215-219 - 1985
- [c1]Curtis P. Langlotz, Lawrence M. Fagan, Samson W. Tu, John Williams, Branimir Sikic:
ONYX: An Architecture for Planning in Uncertain Environments. IJCAI 1985: 447-449 - 1983
- [j1]Curtis P. Langlotz, Edward H. Shortliffe:
Adapting a Consultation System to Critique User Plans. Int. J. Man Mach. Stud. 19(5): 479-496 (1983)
Coauthor Index
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last updated on 2023-03-13 01:26 CET by the dblp team
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