Rachida Saouli

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 16

Top Topics

Left Ventricular

Fully Automatic

Top Venues

IET Image Process.

BrainLes@MICCAI (2)

Publications

Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation. Comput. Medical Imaging Graph. 104 (2023)
Rania Mabrouk, Ramzi Mahmoudi, Asma Ammari, Rachida Saouli, Mohamed Hedi Bedoui
Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based Models. ICCCI (CCIS Volume) (2022)
Fouzia Chighoub, Rachida Saouli
Fully Integrated Spatial Information to Improve FCM Algorithm for Brain MRI Image Segmentation. Autom. Control. Comput. Sci. 56 (1) (2022)
Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network. Int. J. Imaging Syst. Technol. 32 (3) (2022)
Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Mezri Maatouk, Rachida Saouli, Mohamed Hédi Bedoui
Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset. SN Comput. Sci. 3 (4) (2022)
Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hédi Bedoui
A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI. IET Image Process. 15 (9) (2021)
Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui
Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences. AICCSA (2021)
Ramzi Mahmoudi, Narjes Ben Ameur, Asma Ammari, Mohamed Akil, Rachida Saouli, Badii Hmida, Momahed Hedi Bedoui
Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation. IET Image Process. 14 (3) (2020)
Adel Kamli, Rachida Saouli, Hadj Batatia, Mostefa Bennaceur, Imane Youkana
Synthetic medical image generator for data augmentation and anonymisation based on generative adversarial network for glioblastoma tumors growth prediction. IET Image Process. 14 (16) (2020)
Mostefa Ben Naceur, Mohamed Akil, Rachida Saouli, Rostom Kachouri
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy. Medical Image Anal. 63 (2020)
Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana
Combined Datasets For Breast Cancer Grading Based On Multi-CNN Architectures. IPTA (2020)
Mostefa Ben Naceur, Mohamed Akil, Rachida Saouli, Rostom Kachouri
Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results. BrainLes@MICCAI (2) (2019)
Mostefa Ben Naceur, Rostom Kachouri, Mohamed Akil, Rachida Saouli
A New Online Class-Weighting Approach with Deep Neural Networks for Image Segmentation of Highly Unbalanced Glioblastoma Tumors. IWANN (2) (2019)
Mostefa Ben Naceur, Rachida Saouli, Mohamed Akil, Rostom Kachouri
Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images. Comput. Methods Programs Biomed. 166 (2018)
Imane Youkana, Jean Cousty, Rachida Saouli, Mohamed Akil
Parallelization Strategy for Elementary Morphological Operators on Graphs: Distance-Based Algorithms and Implementation on Multicore Shared-Memory Architecture. J. Math. Imaging Vis. 59 (1) (2017)
Imane Youkana, Jean Cousty, Rachida Saouli, Mohamed Akil
Parallelization Strategy for Elementary Morphological Operators on Graphs. DGCI (2016)