2 citations · 3 across the 6 of their papers we have counts for
6 papers
DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology
Héctor Carrión, Narges Norouzi
Dermatological practice routinely involves measuring and tracking lesion size, morphology and texture, as critical components of wound or skin cancer screening, monitoring and diag…
Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification
Héctor Carrión, Narges Norouzi
Accurate dermatological diagnosis naturally necessitates equitable performance across diverse populations, yet a systematic lack of expertly annotated images, especially for underr…
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification
Héctor Carrión, Narges Norouzi
Skin diseases affect millions of people worldwide, across all ethnicities. Increasing diagnosis accessibility requires fair and accurate segmentation and classification of dermatol…
HealNet -- Self-Supervised Acute Wound Heal-Stage Classification
Héctor Carrión, Mohammad Jafari, Hsin-Ya Yang +4
Identifying, tracking, and predicting wound heal-stage progression is a fundamental task towards proper diagnosis, effective treatment, facilitating healing, and reducing pain. Tra…
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies
Narges Norouzi, Reza Azmi, Sara Saberi Tehrani Moghadam +1
Fashion is now among the largest industries worldwide, for it represents human history and helps tell the worlds story. As a result of the Fourth Industrial Revolution, the Interne…
A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images
Narges Norouzi, Reza Azmi, Nooshin Noshiri +1
The automatic analysis of subtle changes between longitudinal MR images is an important task as it is still a challenging issue in scope of the breast medical image processing. In…