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ORCIDRoxana Daneshjou
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2020 – today
- 2024
[j9]Isabelle Krakowski, Jiyeong Kim
, Zhuo Ran Cai, Roxana Daneshjou, Jan Lapins, Hanna Eriksson, Anastasia Lykou, Eleni Linos:
Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis. npj Digit. Medicine 7(1) (2024)- [j8]Vijaytha Muralidharan, Boluwatife Adeleye Adewale, Caroline J. Huang, Mfon Thelma Nta, Peter Oluwaduyilemi Ademiju, Pirunthan Pathmarajah, Man Kien Hang, Oluwafolajimi Adesanya, Ridwanullah Olamide Abdullateef, Abdulhammed Opeyemi Babatunde, Abdulquddus Ajibade, Sonia Onyeka, Zhou Ran Cai, Roxana Daneshjou, Tobi Olatunji:
A scoping review of reporting gaps in FDA-approved AI medical devices. npj Digit. Medicine 7(1) (2024) - [c9]Assala Benmalek, Celia Cintas, Girmaw Abebe Tadesse, Roxana Daneshjou, Kush R. Varshney, Dalila Cherifi:
Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology. ISBI 2024: 1-5 - [i15]Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel I. Warren, Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline:
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. CoRR abs/2401.08847 (2024) - [i14]Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, Christopher D. Manning:
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text. CoRR abs/2403.18421 (2024) - [i13]Elliot Bolton, Betty Xiong, Vijaytha Muralidharan, Joel Schamroth, Vivek Muralidharan, Christopher D. Manning, Roxana Daneshjou:
Assessing The Potential Of Mid-Sized Language Models For Clinical QA. CoRR abs/2404.15894 (2024) - [i12]Cyril Zakka, Joseph Cho, Gracia Fahed, Rohan Shad, Michael Moor, Robyn Fong, Dhamanpreet Kaur, Vishnu Ravi, Oliver O. Aalami, Roxana Daneshjou, Akshay Chaudhari, William Hiesinger:
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation. CoRR abs/2405.07896 (2024) - [i11]Christian Bluethgen, Dave Van Veen, Cyril Zakka, Katherine Link, Aaron Fanous, Roxana Daneshjou, Thomas Frauenfelder, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari:
Best Practices for Large Language Models in Radiology. CoRR abs/2412.01233 (2024) - 2023
- [j7]Vijaytha Muralidharan, A. Burgart, Roxana Daneshjou, S. Rose:
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI. npj Digit. Medicine 6 (2023) - [j6]Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg, Roxana Daneshjou:
Large language models propagate race-based medicine. npj Digit. Medicine 6 (2023) - [j5]Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou:
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 6 (2023) - [c8]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly:
Towards Reliable Dermatology Evaluation Benchmarks. ML4H@NeurIPS 2023: 101-128 - [i10]Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Zou:
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis. CoRR abs/2302.00785 (2023) - [i9]Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai:
Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR abs/2308.12453 (2023) - [i8]Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, James Zou, Roxana Daneshjou:
Large language models in medicine: the potentials and pitfalls. CoRR abs/2309.00087 (2023) - [i7]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly:
Towards Reliable Dermatology Evaluation Benchmarks. CoRR abs/2309.06961 (2023) - 2022
- [j4]Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek:
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-26 (2022) - [c7]Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou:
Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. AIES 2022: 763-777 - [c6]Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Y. Zou:
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis. NeurIPS 2022 - [i6]Roxana Daneshjou, Kailas Vodrahalli, Roberto A. Novoa, Melissa Jenkins, Weixin Liang, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou:
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR abs/2203.08807 (2022) - [i5]Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek:
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. CoRR abs/2207.02942 (2022) - [i4]Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou:
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. CoRR abs/2209.09105 (2022) - 2021
- [c5]Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou:
Racial Representation Analysis in Dermatology Academic Materials. AMIA 2021 - [c4]Olga Afanasiev, Joanne Berghout, Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Jonathan H. Chen, Roxana Daneshjou, Lukasz Kidzinski:
Computational Challenges and Artificial Intelligence in Precision Medicine. PSB 2021 - [c3]Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou:
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. PSB 2021 - [i3]Roxana Daneshjou, Carrie Kovarik, Justin M. Ko:
Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions. CoRR abs/2105.10477 (2021) - [i2]Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou:
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR abs/2111.08006 (2021) - 2020
- [c2]Roxana Daneshjou, Lukasz Kidzinski, Olga Afanasiev, Jonathan H. Chen:
Session Introduction. PSB 2020: 1-6 - [i1]Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou:
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. CoRR abs/2010.02086 (2020)
2010 – 2019
- 2014
- [c1]Roxana Daneshjou, Zachary Zappala, Kimberly R. Kukurba, Sean M. Boyle, Kelly E. Ormond, Teri E. Klein, Michael Snyder, Carlos D. Bustamante, Russ B. Altman, Stephen B. Montgomery:
PATH-SCAN: A Reporting Tool for Identifying Clinically Actionable Variants. Pacific Symposium on Biocomputing 2014: 229-240 - 2012
- [j3]Konrad J. Karczewski, Roxana Daneshjou, Russ B. Altman:
Chapter 7: Pharmacogenomics. PLoS Comput. Biol. 8(12) (2012) - 2011
- [j2]Guy Haskin Fernald, Emidio Capriotti, Roxana Daneshjou, Konrad J. Karczewski, Russ B. Altman:
Genome Analysis. Bioinform. 27(13): 1741-1748 (2011) - [j1]Guy Haskin Fernald, Emidio Capriotti, Roxana Daneshjou, Konrad J. Karczewski, Russ B. Altman:
Bioinformatics challenges for personalized medicine. Bioinform. 27(16): 2323 (2011)
Coauthor Index
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