Dimah Dera

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Variational Inference

Level Set Segmentation

Convolutional Neural Networks

Top Venues

VISIGRAPP (3): VISAPP

Publications

Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool
TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Kevin Zhou, Dimah Dera
Robust Denoising and DenseNet Classification Framework for Plant Disease Detection. VISIGRAPP (3): VISAPP (2024)
Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. IEEE Signal Process. Mag. 39 (4) (2022)
Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool
Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. FUSION (2022)
Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh
PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks. IEEE Trans. Signal Process. 69 (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
Self-Compression in Bayesian Neural Networks. CoRR (2021)
Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh
Trustworthy Medical Segmentation with Uncertainty Estimation. CoRR (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR (2021)
Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya, Ravi Prakash Ramachandran
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks. CoRR (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP (2020)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
Self-Compression in Bayesian Neural Networks. MLSP (2020)
Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. MLSP (2019)
Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh
Inverted Cone Convolutional Neural Network For Deboning MRIs. IJCNN (2018)
Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge. BrainLes@MICCAI (2016)
Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh
Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. IJCNN (2016)
Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
Level set segmentation using non-negative matrix factorization of brain MRI images. BIBM (2015)