Roxana Daneshjou

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Future Directions

Diffusion Models

Cancer Diagnosis

Top Venues

npj Digit. Medicine

Proc. ACM Hum. Comput. Interact.

Publications

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 (2024)
Cyril Zakka, Joseph Cho, Gracia Fahed, Rohan Shad, Michael Moor, Robyn Fong, Dhamanpreet Kaur, Vishnu Ravi, Oliver Aalami, Roxana Daneshjou, Akshay Chaudhari, William Hiesinger
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation. CoRR (2024)
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)
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 (2024)
Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel 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 (2024)
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)
Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, James Zou, Roxana Daneshjou
Large language models in medicine: the potentials and pitfalls. CoRR (2023)
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 (2023)
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 (2023)
Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg, Roxana Daneshjou
Large language models propagate race-based medicine. npj Digit. Medicine 6 (2023)
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)
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 (2023)
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) (2022)
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 (2022)
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)
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) (2022)
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)
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 (2022)
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 (2022)
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 (2021)
Roxana Daneshjou, Carrie Kovarik, Justin M. Ko
Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions. CoRR (2021)
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)
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)
Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter 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)
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 (2020)
Roxana Daneshjou, Lukasz Kidzinski, Olga Afanasiev, Jonathan H. Chen
Session Introduction. PSB (2020)
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)
Konrad J. Karczewski, Roxana Daneshjou, Russ B. Altman
Chapter 7: Pharmacogenomics. PLoS Comput. Biol. 8 (12) (2012)
Guy Haskin Fernald, Emidio Capriotti, Roxana Daneshjou, Konrad J. Karczewski, Russ B. Altman
Bioinformatics challenges for personalized medicine. Bioinform. 27 (16) (2011)
Guy Haskin Fernald, Emidio Capriotti, Roxana Daneshjou, Konrad J. Karczewski, Russ B. Altman
Genome Analysis. Bioinform. 27 (13) (2011)