A Novel Image Encryption Scheme Using an Irrevocable Multimodal Biometric Key. - M. Suchithra; O. K. Sikha 001 (SSCC, 2015)

Salient Region Detection and Segmentation in Images using Dynamic Mode Decomposition. - O. K. Sikha 001; S. Sachin Kumar; K. P. Soman (CoRR, 2016)

Salient region detection and object segmentation in color images using dynamic mode decomposition. - O. K. Sikha 001; S. Sachin Kumar; K. P. Soman (J. Comput. Sci., 2018)

VMD-DMD coupled data-driven approach for visual saliency in noisy images. - O. K. Sikha 001; K. P. Soman; S. Sachin Kumar (Multim. Tools Appl., 2020)

Multi-resolution dynamic mode decomposition-based salient region detection in noisy images. - O. K. Sikha 001; K. P. Soman (Signal Image Video Process., 2020)

Dynamic Mode Decomposition based salient edge/region features for content based image retrieval. - O. K. Sikha 001; Soman K. P. (Multim. Tools Appl., 2021)

Synchronization of coupled friction-induced oscillators - A Dynamic Mode Decomposition Perspective. - Jithin Velayudhan; M. D. Narayanan; Ashesh Saha; O. K. Sikha 001 (J. Intell. Fuzzy Syst., 2022)

VGG16-random fourier hybrid model for masked face recognition. - O. K. Sikha 001; Bandla Bharath (Soft Comput., 2022)

Content-Based Image Retrieval Using Deep Features and Hamming Distance. - R. T. Akash Guna; O. K. Sikha 001 (Smart Computer Vision, 2023)

Ante-Hoc Generation of Task-Agnostic Interpretation Maps. - Akash Guna R. T.; Raul Benitez; O. K. Sikha 001 (CVPR Workshops, 2023)

TS-CNN: A Three-Tier Self-Interpretable CNN for Multi-Region Medical Image Classification. - V. A. Ashwath; O. K. Sikha 001; Raul Benitez (IEEE Access, 2023)

AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition. - Sudhesh K. M.; V. Sowmya 001; Sainamole Kurian P.; O. K. Sikha 001 (Eng. Appl. Artif. Intell., 2023)

Uncertainty Aware Segmentation Quality Assessment in Medical Images. - O. K. Sikha 001; Adrian Galdran; Meritxell Riera-Marin; Javier García; Júlia Rodríguez-Comas; Gemma Piella; Miguel Ángel González Ballester (ISBI, 2024)

Deep Feature Discriminability as a Diagnostic Measure of Overfitting in CNN Models. - O. K. Sikha 001; Raul Benitez (SAI (1), 2024)

IARS SegNet: Interpretable Attention Residual Skip Connection SegNet for Melanoma Segmentation. - Shankara Narayanan V; O. K. Sikha 001; Raul Benitez (IEEE Access, 2024)

Interpreting CNN predictions using conditional Generative Adversarial Networks. - R. T. Akash Guna; O. K. Sikha 001; Raul Benitez (Knowl. Based Syst., 2024)

Multimodal attention-driven visual question answering for Malayalam. - Abhishek Gopinath Kovath; Anand Nayyar; O. K. Sikha 001 (Neural Comput. Appl., 2024)

Generation of Rule-Based Explanations of CNN Classifiers Using Regional Features. - William Philipp; R. Yashwanthika; O. K. Sikha 001; Raul Benitez (Neural Process. Lett., 2024)

Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation. - O. K. Sikha 001; Meritxell Riera-Marin; Adrian Galdran; Javier García López; Júlia Rodríguez-Comas; Gemma Piella; Miguel Ángel González Ballester (Comput. Medical Imaging Graph., 2025)

Unveiling learning trends in convolutional neural networks with dynamic mode decomposition. - O. K. Sikha 001; Miguel Ángel González Ballester; Raul Benitez (Eng. Appl. Artif. Intell., 2025)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)