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ORCIDJudy Gichoya
Judy W. Gichoya – Judy Wawira Gichoya
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2020 – today
- 2024
[j23]Babajide O. Owosela
, Rebecca S. Steinberg, Sharon L. Leslie, Leo A. Celi, Saptarshi Purkayastha, Rakesh Shiradkar, Janice M. Newsome, Judy W. Gichoya:
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review. Int. J. Medical Informatics 182: 105303 (2024)- [j22]Ramon Correa, Khushbu Pahwa, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee:
Efficient adversarial debiasing with concept activation vector - Medical image case-studies. J. Biomed. Informatics 149: 104548 (2024) - [j21]Vanessa R. Weir, Katelyn Dempsey, Judy Wawira Gichoya, Veronica Rotemberg, An-Kwok Ian Wong:
A survey of skin tone assessment in prospective research. npj Digit. Medicine 7(1) (2024) - [c27]Atika Rahman Paddo, Ria Treesa Raju, Judy Wawira Gichoya, Saptarshi Purkayastha:
A Scoping Review on Quantization Methods for Medical Imaging AI. ISBI 2024: 1-5 - [c26]Saptarshi Purkayastha, Rohan Isaac, Amulya Veldandi, Rijul Saxena, Pallavi Singh, Pallavi Vaswani, Elizabeth A Krupinski, Joshua A Danish, Judy Wawira Gichoya:
Measuring Impact of Radiologist-AI Collaboration: Efficiency, Accuracy, and Clinical Impact. ISBI 2024: 1-4 - [c25]Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew Bdadley, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat:
Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. ISBI 2024: 1-4 - [i32]Lasse Hyldig Hansen, Nikolaj Andersen, Jack Gallifant, Liam G. McCoy, James K. Stone, Nura Izath, Marcela Aguirre-Jerez, Danielle S. Bitterman, Judy Gichoya, Leo Anthony Celi:
Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources. CoRR abs/2405.05049 (2024) - 2023
- [j20]Pradeeban Kathiravelu, Nan Li, Nishchal Singi, Ananth Reddy Bhimireddy, Ryan Birmingham, Judy Wawira Gichoya, Hari Trivedi, Nabile M. Safdar, Ashish Sharma, Puneet Sharma:
Visualizing Scanner Utilization From MRI Metadata and Clinical Data. Computer 56(8): 68-76 (2023) - [j19]Pradeeban Kathiravelu, Dalibor Fonovic, Tihana Galinac Grbac, Zachary Zaiman, Luís Veiga, Judy Wawira Gichoya, Saptarshi Purkayastha, Babak Mahmoudi:
The Telehealth Dilemma - Health-Care Deserts Meet the Internet's Remote Regions. Computer 56(9): 39-49 (2023) - [j18]Ryan Wang, Li-Ching Chen, Lama Moukheiber, Kenneth Patrick Seastedt, Mira Moukheiber, Dana Moukheiber, Zachary Zaiman, Sulaiman Moukheiber, Tess Litchman, Hari Trivedi, Rebecca Steinberg, Judy W. Gichoya, Po-Chih Kuo, Leo A. Celi:
Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. Int. J. Medical Informatics 178: 105211 (2023) - [j17]Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel:
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging 36(1): 105-113 (2023) - [j16]William V. Wagstaff, Alexander Villalobos, Judy Gichoya, Nima Kokabi:
Using Deep Learning to Predict Treatment Response in Patients with Hepatocellular Carcinoma Treated with Y90 Radiation Segmentectomy. J. Digit. Imaging 36(3): 1180-1188 (2023) - [j15]Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee:
MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. IEEE J. Biomed. Health Informatics 27(8): 3936-3947 (2023) - [c24]Saptarshi Purkayastha, Rohan Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth A. Krupinski, Joshua A. Danish, Judy Wawira Gichoya:
A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System. AIME 2023: 373-377 - [c23]Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi:
Taking Off with AI: Lessons from Aviation for Healthcare. EAAMO 2023: 4:1-4:14 - [c22]Saptarshi Purkayastha, Regina Merine, Vyona Dsouza, Pallavi Singh, Judy Gichoya:
Evaluating user acceptance of an open-source mobile app for hospital price transparency rule. ECIS 2023 - [c21]Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER 2023: 1-4 - [c20]Pradeeban Kathiravelu, Ananth Reddy Bhimireddy, Judy Wawira Gichoya:
Network Measurements and Optimizations for Telehealth in Internet's Remote Regions. SDS 2023: 39-46 - [i31]Saptarshi Purkayastha, Rohan Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth A. Krupinski, Joshua A. Danish, Judy W. Gichoya:
A general-purpose AI assistant embedded in an open-source radiology information system. CoRR abs/2303.10338 (2023) - [i30]David A. Clunie, Adam E. Flanders, Adam Taylor, Bradley James Erickson, Brian Bialecki, David Brundage, David Gutman, Fred W. Prior, J. Anthony Seibert, John H. Perry, Judy Wawira Gichoya, Justin S. Kirby, Katherine P. Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt M. Tellis, Ying Xiao, Keyvan Farahani:
Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations. CoRR abs/2303.10473 (2023) - [i29]Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi:
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR abs/2305.04422 (2023) - [i28]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.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - [i27]Bardia Khosravi, Frank Li, Theo Dapamede, Pouria Rouzrokh, Cooper U. Gamble, Hari M. Trivedi, Cody C. Wyles, Andrew B. Sellergren, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya:
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research. CoRR abs/2311.09402 (2023) - [i26]Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, Minjae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari:
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. CoRR abs/2311.12560 (2023) - [i25]Yuzhe Yang, Haoran Zhang, Judy W. Gichoya, Dina Katabi, Marzyeh Ghassemi:
The Limits of Fair Medical Imaging AI In The Wild. CoRR abs/2312.10083 (2023) - [i24]Thiago Santos, Harish Kamath, Christopher R. McAdams, Mary S. Newell, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Constance Lehman, Judy Gichoya, Imon Banerjee, Hari Trivedi:
Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) - an end-to-end model for characterizing severity and diagnosis. CoRR abs/2312.12442 (2023) - [i23]Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa:
Use large language models to promote equity. CoRR abs/2312.14804 (2023) - 2022
- [j14]Amara Tariq, Omar Kallas, Patricia C. Balthazar, Scott Jeffery Lee, Terry Desser, Daniel L. Rubin, Judy Wawira Gichoya, Imon Banerjee:
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. J. Biomed. Semant. 13(1): 8 (2022) - [j13]Pradeeban Kathiravelu, Zachary Zaiman, Judy Gichoya, Luís Veiga, Imon Banerjee:
Towards an internet-scale overlay network for latency-aware decentralized workflows at the edge. Comput. Networks 203: 108654 (2022) - [j12]Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K. Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoc, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli:
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. J. Am. Medical Informatics Assoc. 30(1): 54-63 (2022) - [j11]Jiwoong Jason Jeong, Amara Tariq, Tobiloba Adejumo, Hari Trivedi, Judy W. Gichoya, Imon Banerjee:
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. J. Digit. Imaging 35(2): 137-152 (2022) - [j10]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
CVAD - An unsupervised image anomaly detector. Softw. Impacts 11: 100195 (2022) - [c19]Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA 2022 - [c18]Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee:
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. ICPR 2022: 4779-4785 - [c17]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE. MILLanD@MICCAI 2022: 187-196 - [c16]Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee:
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. ICMR 2022: 11-18 - [c15]Pradeeban Kathiravelu, Elhadj Benkhelifa, Zachary Zaiman, Matthew Wang, Ramon Correa, Luís Veiga, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Judy Gichoya, Babak Mahmoudi:
Networking Research Innovations for Telesurgery: A Systematic Review. SDS 2022: 1-8 - [i22]Timothy L. Kline, Felipe Kitamura, Ian Pan, Amine M. Korchi, Neil A. Tenenholtz, Linda Moy, Judy Wawira Gichoya, Igor Santos, Steven Blumer, Misha Ysabel Hwang, Kim-Ann Git, Abishek Shroff, Elad Walach, George Shih, Steve Langer:
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. CoRR abs/2202.01863 (2022) - [i21]Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi:
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. CoRR abs/2202.04073 (2022) - [i20]Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee:
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. CoRR abs/2204.03074 (2022) - [i19]Ananth Reddy Bhimireddy, John Lee Burns, Saptarshi Purkayastha, Judy Wawira Gichoya:
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets. CoRR abs/2204.07824 (2022) - [i18]Shuja Khalid, Francisco Matos, Ayman Abunimer, Joel Bartlett, Richard Duszak, Michal Horny, Judy Gichoya, Imon Banerjee, Hari Trivedi:
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data. CoRR abs/2207.00066 (2022) - [i17]Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee:
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. CoRR abs/2208.00475 (2022) - [i16]Ryan Wang, Li-Ching Chen, Lama Moukheiber, Mira Moukheiber, Dana Moukheiber, Zach Zaiman, Sulaiman Moukheiber, Tess Litchman, Kenneth Patrick Seastedt, Hari Trivedi, Rebecca Steinberg, Po-Chih Kuo, Judy Gichoya, Leo Anthony Celi:
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies. CoRR abs/2211.06925 (2022) - 2021
- [j9]Yibo Wang, Amara Tariq, Fiza Khan, Judy Wawira Gichoya, Hari Trivedi, Imon Banerjee:
Query bot for retrieving patients' clinical history: A COVID-19 use-case. J. Biomed. Informatics 123: 103918 (2021) - [j8]Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile M. Safdar, Judy Wawira Gichoya:
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. J. Digit. Imaging 34(4): 1005-1013 (2021) - [j7]Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee:
Patient-specific COVID-19 resource utilization prediction using fusion AI model. npj Digit. Medicine 4 (2021) - [c14]Thiago Santos, Omar Kallas, Janice M. Newsome, Daniel L. Rubin, Judy W. Gichoya, Imon Banerjee:
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text. AMIA 2021 - [c13]Bolu Oluwalade, Sunil Neela, Judy Wawira Gichoya, Tobiloba Adejumo, Saptarshi Purkayastha:
Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data. HEALTHINF 2021: 645-650 - [c12]Snigdha Kodela, Jahnavi Pinnamraju, Judy W. Gichoya, Saptarshi Purkayastha:
Predicting Opioid Prescriptions based on Patient Demographics in MIMIC-IV. CBMS 2021: 225-230 - [c11]Areeba Abid, Priyanshu Sinha, Aishwarya Harpale, Judy Gichoya, Saptarshi Purkayastha:
Optimizing Medical Image Classification Models for Edge Devices. DCAI (1) 2021: 77-87 - [c10]Yohan Mahajan, Jahnavi Pinnamraju, John L. Burns, Judy W. Gichoya, Saptarshi Purkayastha:
Using Machine Learning Approaches to Identify Exercise Activities from a Triple-Synchronous Biomedical Sensor. ISDA 2021: 1216-1226 - [i15]Bolu Oluwalade, Sunil Neela, Judy Wawira Gichoya, Tobiloba Adejumo, Saptarshi Purkayastha:
Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data. CoRR abs/2103.03836 (2021) - [i14]Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli:
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR abs/2106.02118 (2021) - [i13]Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya:
Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR abs/2107.10356 (2021) - [i12]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
Margin-Aware Intra-Class Novelty Identification for Medical Images. CoRR abs/2108.00117 (2021) - [i11]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
CVAD: A generic medical anomaly detector based on Cascade VAE. CoRR abs/2110.15811 (2021) - [i10]Ramon Correa, Jiwoong Jason Jeong, Bhavik N. Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee:
Two-step adversarial debiasing with partial learning - medical image case-studies. CoRR abs/2111.08711 (2021) - [i9]Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee:
MedShift: identifying shift data for medical dataset curation. CoRR abs/2112.13885 (2021) - 2020
- [j6]John L. Burns, Dan Hasting, Judy W. Gichoya, Ben McKibben, Lindsey Shea, Mark Frank:
Just in Time Radiology Decision Support Using Real-time Data Feeds. J. Digit. Imaging 33(1): 137-142 (2020) - [c9]Ananth Reddy Bhimireddy, Priyanshu Sinha, Bolu Oluwalade, Judy Wawira Gichoya, Saptarshi Purkayastha:
Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks. KDH@ECAI 2020: 125-130 - [i8]A. K. Bhavani Singh, Mounika Guntu, Ananth Reddy Bhimireddy, Judy W. Gichoya, Saptarshi Purkayastha:
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes. CoRR abs/2003.07507 (2020) - [i7]Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya:
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. CoRR abs/2004.07965 (2020) - [i6]Varoon Mathur, Saptarshi Purkayastha, Judy Wawira Gichoya:
Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care. CoRR abs/2005.12378 (2020) - [i5]Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jason Jeong, Hari Trivedi, Judy W. Gichoya:
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. CoRR abs/2006.13262 (2020) - [i4]Ningcheng Li, Guy Maresh, Maxwell Cretcher, Khashayar Farsad, Ramsey Al-Hakim, John Kaufman, Judy Gichoya:
A Modern Non-SQL Approach to Radiology-Centric Search Engine Design with Clinical Validation. CoRR abs/2007.02124 (2020) - [i3]Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee:
Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs. CoRR abs/2007.05786 (2020)
2010 – 2019
- 2019
- [c8]Priyanshu Sinha, Saptarshi Purkayastha, Judy Gichoya:
Full Training versus Fine Tuning for Radiology Images Concept Detection Task for the ImageCLEF 2019 Challenge. CLEF (Working Notes) 2019 - [c7]Saptarshi Purkayastha, Surendra Babu Buddi, Siddhartha Nuthakki, Bhawana Yadav, Judy W. Gichoya:
Evaluating the Implementation of Deep Learning in LibreHealth Radiology on Chest X-Rays. CVC (1) 2019: 648-657 - [i2]Siddhartha Nuthakki, Sunil Neela, Judy W. Gichoya, Saptarshi Purkayastha:
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks. CoRR abs/1912.12397 (2019) - 2018
- [j5]Marc D. Kohli, James J. Morrison, Judy Wawira Gichoya, Matthew B. Morgan, Jason Hostetter, Brad W. Genereaux, Mohannad Hussain, Steve G. Langer:
Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset. J. Digit. Imaging 31(1): 9-12 (2018) - [j4]Judy W. Gichoya, Marc D. Kohli, Larry Ivange, Teri Sippel Schmidt, Saptarshi Purkayastha:
A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System. J. Digit. Imaging 31(3): 361-370 (2018) - [i1]Judy W. Gichoya, Siddhartha Nuthakki, Pallavi G. Maity, Saptarshi Purkayastha:
Phronesis of AI in radiology: Superhuman meets natural stupidity. CoRR abs/1803.11244 (2018) - 2017
- [j3]Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis:
Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data. J. Biomed. Informatics 69: 160-176 (2017) - [j2]Judy Wawira Gichoya, Marc D. Kohli, Paul Haste, Elizabeth Mills Abigail, Matthew Johnson:
Proving Value in Radiology: Experience Developing and Implementing a Shareable Open Source Registry Platform Driven by Radiology Workflow. J. Digit. Imaging 30(5): 602-608 (2017) - [c6]Judy Wawira Gichoya, Mohammad Alarifi, Ria Bhaduri, Bilal Tahir, Saptarshi Purkayastha:
Using cognitive fit theory to evaluate patient understanding of medical images. EMBC 2017: 2430-2433 - [c5]Olakunle Oladiran, Judy Gichoya, Saptarshi Purkayastha:
Conversion of JPG Image into DICOM Image Format with One Click Tagging. HCI (17) 2017: 61-70 - [c4]Noah Kasiiti, Judy Wawira Gichoya, Saptarshi Purkayastha, Martin Chieng Were:
Comparative Performance Analysis of Different Fingerprint Biometric Scanners for Patient Matching. MedInfo 2017: 1053-1057 - 2016
- [j1]Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis:
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection. J. Biomed. Informatics 60: 145-152 (2016) - [c3]Theresa Cullen, Paul G. Biondich, Burke W. Mamlin, Judy W. Gichoya, Hamish S. F. Fraser:
The OpenMRS Community's Experience: A Decade of Developing and Implementing Medical Record Systems Within Constraint. AMIA 2016 - 2013
- [c2]Judy Gichoya, Chris Pearce, Nilmini Wickramasinghe:
Information Architecture Considerations in Designing a Comprehensive Tuberculosis Enterprise System in Western Kenya. MedInfo 2013: 1120 - 2012
- [c1]Judy Gichoya, Brian E. Dixon, John T. Finnell, Daniel J. Vreeman, Roland E. Gamache, Shaun J. Grannis:
An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System. AMIA 2012
Coauthor Index
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last updated on 2024-09-09 01:15 CEST by the dblp team
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