Asma Ammari

According to our database, Asma Ammari authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

LSTM-based prediction of emotional patterns in MOOCs from behavioral data.

Nihel Fatima Baarir, Samir Bourekkache, Asma Ammari, Ahmed Aloui

Educ. Inf. Technol., February, 2026

2023

Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation.

Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui

Comput. Medical Imaging Graph., March, 2023

2022

Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset.

Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Mezri Maatouk, Rachida Saouli, Mohamed Hédi Bedoui

SN Comput. Sci., 2022

Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based Models.

Rania Mabrouk, Ramzi Mahmoudi, Asma Ammari, Rachida Saouli, Mohamed Hedi Bedoui

Proceedings of the Advances in Computational Collective Intelligence, 2022

2021

A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI.

Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hédi Bedoui

IET Image Process., 2021

Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences.

Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui

Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021

2020

Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation.

Ramzi Mahmoudi, Narjes Ben Ameur, Asma Ammari, Mohamed Akil, Rachida Saouli, Badii Hmida, Mohamed Hedi Bedoui

IET Image Process., 2020