Erik P. Duhaime

11 papers Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public.
CoRR
Xuhai Xu, Haoyu Hu, Haoran Zhang, Will Ke Wang, Reina Wang, Luis R. Soenksen, Omar Badri, Sheharbano Jafry, Elise Burger, Lotanna Nwandu, Apoorva Mehta, Erik P. Duhaime, Asif Qasim, Hause Lin, Janis Pereira, Jonathan Hershon, Paulius Mui, Alejandro A. Gru, Noémie Elhadad, Lena Mamykina, Matthew Groh, Philipp Tschandl, Roxana Daneshjou, Marzyeh Ghassemi
2024 — conf
Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound?
MICCAI (4)
Ameneh Asgari-Targhi, Tamas Ungi, Mike Jin, Nicholas Harrison, Nicole M. Duggan, Erik P. Duhaime, Andrew J. Goldsmith, Tina Kapur
2024 — conf
Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data.
HICSS
Nicole M. Duggan, Mike Jin, Erik P. Duhaime, Tina Kapur, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A. Selame, Ameneh Asgari-Targhi, Chanel E. Fischetti, Ruben T. Lucassen, Anthony E. Samir
2024 — conf
SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS).
MICCAI (1)
Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney
2024 J jnl
The use of large language models to enhance cancer clinical trial educational materials.
CoRR
Mingye Gao, Aman Varshney, Shan Chen, Vikram Goddla, Jack Gallifant, Patrick Doyle, Claire Novack, Maeve Dillon-Martin, Teresia Perkins, Xinrong Correia, Erik P. Duhaime, Howard Isenstein, Elad Sharon, Lisa Soleymani Lehmann, David E. Kozono, Brian Anthony, Dmitriy Dligach, Danielle S. Bitterman
2023 J jnl
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.
IEEE J. Biomed. Health Informatics
Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel E. Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria Alejandra Duran Mendicuti, Sarah F. Frisken, Paul B. Shyn, Alexandra J. Golby, Edward W. Boyer, William M. Wells III, Andrew J. Goldsmith, Tina Kapur
2023 J jnl
Expert-Level Annotation Quality Achieved by Gamified Crowdsourcing for B-line Segmentation in Lung Ultrasound.
CoRR
Mike Jin, Nicole M. Duggan, Varoon Bashyakarla, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Joseph Stegeman, Erik P. Duhaime, Tina Kapur, Andrew J. Goldsmith
2023 J jnl
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling.
CoRR
Nicole M. Duggan, Mike Jin, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A. Selame, Ameneh Asgari-Targhi, Chanel E. Fischetti, Ruben T. Lucassen, Anthony E. Samir, Erik P. Duhaime, Tina Kapur, Andrew J. Goldsmith
2023 — conf
Nonexpert Crowds Outperform Expert Individuals in Diagnostic Accuracy on a Skin Lesion Diagnosis Task.
ISBI
Erik P. Duhaime, Mike Jin, Taylor Moulton, Jochen Weber, Nicholas R. Kurtansky, Allan Halpern, Veronica Rotemberg
2019 J jnl
Recruiting Hay to Find Needles: Recursive Incentives and Innovation in Social Networks.
CoRR
Erik P. Duhaime, Brittany M. Bond, Qi Yang, Patrick M. De Boer, Thomas W. Malone
2016 — conf
Combining Human and Artificial Intelligence for Analyzing Health Data.
AAAI Spring Symposia
Erik P. Duhaime