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)

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 (AICCSA, 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)

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 (ICCCI (CCIS Volume), 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)

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., 2023)