Alice Othmani

Université Paris Est
Vitry-sur-seine, France

Last Updated: 09/26/2026

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Found 16 publications

Advancing medical question answering with a knowledge embedding transformer.

Advancing medical question answering with a knowledge embedding transformer.

Journal: PloS one

Published: April 11, 2025

A deep learning-based framework for standardized analysis of trabecular bone compartments from micro-CT imaging data in the mouse tibia.

A deep learning-based framework for standardized analysis of trabecular bone compartments from micro-CT imaging data in the mouse tibia.

Journal: Scientific reports

Published: April 08, 2025

Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records.

Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records.

Journal: Scientific reports

Published: November 04, 2024

Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review.

Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review.

Journal: Artificial intelligence in medicine

Published: September 17, 2024

Prediction and detection of terminal diseases using Internet of Medical Things: A review.

Prediction and detection of terminal diseases using Internet of Medical Things: A review.

Journal: Computers in biology and medicine

Published: August 22, 2024

A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone.

A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone.

Journal: Scientific reports

Published: August 06, 2024

MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion.

MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion.

Journal: Scientific reports

Published: June 26, 2024

Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Journal: Computer methods and programs in biomedicine

Published: June 19, 2024

Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.

Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.

Journal: Computer methods and programs in biomedicine

Published: January 18, 2023

Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review.

Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review.

Journal: Computers in biology and medicine

Published: July 20, 2022

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.

Journal: Computer methods and programs in biomedicine

Published: November 11, 2021

End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis.

End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis.

Journal: Computer methods and programs in biomedicine

Published: September 02, 2020

Showing 1-12 of 16

Last Updated: 09/26/2026