Rachida Saouli

16 papers C 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation.
Comput. Medical Imaging Graph.
Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui
2022 — conf
Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based Models.
ICCCI (CCIS Volume)
Rania Mabrouk, Ramzi Mahmoudi, Asma Ammari, Rachida Saouli, Mohamed Hedi Bedoui
2022 J jnl
Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset.
SN Comput. Sci.
Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Mezri Maatouk, Rachida Saouli, Mohamed Hédi Bedoui
2022 J jnl
Fully Integrated Spatial Information to Improve FCM Algorithm for Brain MRI Image Segmentation.
Autom. Control. Comput. Sci.
Fouzia Chighoub, Rachida Saouli
2022 J jnl
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network.
Int. J. Imaging Syst. Technol.
Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana
2021 J jnl
A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI.
IET Image Process.
Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hédi Bedoui
2021 C conf
Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences.
AICCSA
Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui
2020 — conf
Combined Datasets For Breast Cancer Grading Based On Multi-CNN Architectures.
IPTA
Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana
2020 J jnl
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy.
Medical Image Anal.
Mostefa Ben Naceur, Mohamed Akil, Rachida Saouli, Rostom Kachouri
2020 J jnl
Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation.
IET Image Process.
Ramzi Mahmoudi, Narjes Ben Ameur, Asma Ammari, Mohamed Akil, Rachida Saouli, Badii Hmida, Mohamed Hedi Bedoui
2020 J jnl
Synthetic medical image generator for data augmentation and anonymisation based on generative adversarial network for glioblastoma tumors growth prediction.
IET Image Process.
Adel Kamli, Rachida Saouli, Hadj Batatia, Mostefa Bennaceur, Imane Youkana
2019 — conf
A New Online Class-Weighting Approach with Deep Neural Networks for Image Segmentation of Highly Unbalanced Glioblastoma Tumors.
IWANN (2)
Mostefa Ben Naceur, Rostom Kachouri, Mohamed Akil, Rachida Saouli
2019 — conf
Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results.
BrainLes@MICCAI (2)
Mostefa Ben Naceur, Mohamed Akil, Rachida Saouli, Rostom Kachouri
2018 J jnl
Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
Comput. Methods Programs Biomed.
Mostefa Ben Naceur, Rachida Saouli, Mohamed Akil, Rostom Kachouri
2017 J jnl
Parallelization Strategy for Elementary Morphological Operators on Graphs: Distance-Based Algorithms and Implementation on Multicore Shared-Memory Architecture.
J. Math. Imaging Vis.
Imane Youkana, Jean Cousty, Rachida Saouli, Mohamed Akil
2016 — conf
Parallelization Strategy for Elementary Morphological Operators on Graphs.
DGCI
Imane Youkana, Jean Cousty, Rachida Saouli, Mohamed Akil