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Publications of Arezou Pakzad at Hamarneh Lab
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Articles in journal, book chapters
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Ashish Sinha,
Jeremy Kawahara,
Arezou Pakzad,
Kumar Abhishek,
Matthieu Ruthven,
Enjie Ghorbel,
Anis Kacem,
Djamila Aouada,
and Ghassan Hamarneh.
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images (Sinha, Kawahara, Pakzad: Joint first authors).
Medical Image Analysis (MedIA),
000(103145):000,
2024.
Keyword(s): Dermatology,
Machine Learning,
Deep Learning,
Segmentation,
Synthesis/Simulation/Augmentation,
Datasets.
[bibtex-key = media2024]
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Arezou Pakzad,
Kumar Abhishek,
and Ghassan Hamarneh.
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions.
In European Conference on Computer Vision (ECCV) ISIC Skin Image Analysis Workshop (ECCV ISIC),
pages 203–219,
2022.
Keyword(s): Dermatology,
Color/Multichannel/Vector-valued,
Machine Learning,
Deep Learning,
AI Bias and Fairness,
Classification.
[bibtex-key = eccv_isic2022a]
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Ashish Sinha,
Jeremy Kawahara,
Arezou Pakzad,
Kumar Abhishek,
Matthieu Ruthven,
Enjie Ghorbel,
Anis Kacem,
Djamila Aouada,
and Ghassan Hamarneh.
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images (Sinha, Kawahara, Pakzad: Joint first authors).
Technical report arxiv.2305.12621,
5 2023.
Keyword(s): Dermatology,
Machine Learning,
Deep Learning,
Segmentation,
Synthesis/Simulation/Augmentation,
Datasets.
[bibtex-key = arxiv:2305.12621]
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Arezou Pakzad,
Kumar Abhishek,
and Ghassan Hamarneh.
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions.
Technical report arXiv:2208.13528,
8 2022.
Keyword(s): Dermatology,
Color/Multichannel/Vector-valued,
Machine Learning,
Deep Learning,
AI Bias and Fairness,
Classification.
[bibtex-key = arxiv:2208.13528]
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Last modified: Thu Aug 1 12:06:05 2024
Author: hamarneh.
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