Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.
IEEE Trans. Cybern., November, 2023
Tumor attention networks: Better feature selection, better tumor segmentation.
Neural Networks, 2021
A TAO-based adaptive middleware for pervasive computing.
Int. J. Embed. Syst., 2021
Semi-Supervised Learning Based Semantic Cross-Media Retrieval.
IEEE Access, 2021
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.
CoRR, 2020
Deep LSTM with Guided Filter for Hyperspectral Image Classification.
Comput. Informatics, 2020
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
How to Compare Selections of Points of Interest for Side-Channel Distinguishers in Practice?
Proceedings of the Information and Communications Security - 16th International Conference, 2014
On the Negative Effects of Trend Noise and Its Applications in Side-Channel Cryptanalysis.
IACR Cryptol. ePrint Arch., 2013
EMD-Based Denoising for Side-Channel Attacks and Relationships between the Noises Extracted with Different Denoising Methods.
Proceedings of the Information and Communications Security - 15th International Conference, 2013