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ORCIDO. K. Sikha 0001
Person information
- affiliation: Amrita Vishwa Vidyapeetham, Amrita School of Computing, Department of Computer Science and Engineering, Coimbatore, India
- affiliation: Polytechnic University of Catalonia (UPC), Department of Automatic Control, Barcelona, Spain
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2020 – today
- 2025
[j18]O. V. Likha
, S. Sachin Kumar, Neethu Mohan, O. K. Sikha:
Fake News and Offensive Content Detection in Malayalam Using Machine Learning, Deep Learning, and Transformer Based Methods With XAI. IEEE Access 13: 186633-186664 (2025)- [j17]K. P. Suchithra, Neethu Mohan, O. K. Sikha, S. Sachin Kumar:
Dynamic Mode Decomposition-Based Features for Cardiovascular Disease Analysis From Phonocardiogram Signals. IEEE Access 13: 200137-200157 (2025) - [j16]O. K. Sikha, Alaysia Leilani B. Stone, Miguel Ángel González Ballester:
Meta-UNet: enhancing skin-lesion segmentation with multimodal feature integration and uncertainty estimation. Int. J. Comput. Assist. Radiol. Surg. 20(9): 1911-1922 (2025) - [j15]Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias Stefan May, Zhaohong Pan, Xiang Zhou, Xiaokun Liang, Franciskus Xaverius Erick, Andrea Prenner, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Kaisar Kushibar, Carlos Martín-Isla, Petia Radeva, Karim Lekadir, Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren, Lucas Gago, Justin Englemann, Joy-Marie Kleiss, Anton Aubanell, Andreu Antolin, Javier García López, Miguel Ángel González Ballester, Adrian Galdran:
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. Comput. Biol. Medicine 197: 111024 (2025) - [j14]O. K. Sikha, Meritxell Riera-Marin, Adrian Galdran, Javier García López, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester:
Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation. Comput. Medical Imaging Graph. 123: 102547 (2025) - [j13]O. K. Sikha, Miguel Ángel González Ballester, Raul Benitez:
Unveiling learning trends in convolutional neural networks with dynamic mode decomposition. Eng. Appl. Artif. Intell. 144: 110146 (2025) - [d3]Meritxell Riera-Marin, O. K. Sikha, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Matthias May, Sandra Bernaus, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Javier García López:
CURVAS-PDACVI dataset. Version 3. Zenodo, 2025 [all versions]
- [d2]Meritxell Riera-Marin, O. K. Sikha, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Javier García López:
CURVAS-PDACVI dataset. Version v1.0.0. Zenodo, 2025 [all versions] - [d1]Meritxell Riera-Marin, O. K. Sikha, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Javier García López:
CURVAS-PDACVI dataset. Version 2. Zenodo, 2025 [all versions] - [i5]Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias Stefan May, Zhaohong Pan, Xiang Zhou, Xiaokun Liang, Franciskus Xaverius Erick, Andrea Prenner, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Kaisar Kushibar, Carlos Martín-Isla, Petia Radeva, Karim Lekadir, Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren, Lucas Gago, Justin Englemann, Joy-Marie Kleiss, Anton Aubanell, Andreu Antolin, Javier García López, Miguel Ángel González Ballester, Adrian Galdran:
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. CoRR abs/2505.08685 (2025) - [i4]O. K. Sikha, Meritxell Riera-Marin, Adrian Galdran, Javier García López, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester:
Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation. CoRR abs/2508.01460 (2025) - 2024
- [j12]Shankara Narayanan V, O. K. Sikha, Raul Benitez:
IARS SegNet: Interpretable Attention Residual Skip Connection SegNet for Melanoma Segmentation. IEEE Access 12: 126122-126134 (2024) - [j11]R. T. Akash Guna, O. K. Sikha, Raul Benitez:
Interpreting CNN predictions using conditional Generative Adversarial Networks. Knowl. Based Syst. 302: 112340 (2024) - [j10]Abhishek Gopinath Kovath, Anand Nayyar, O. K. Sikha:
Multimodal attention-driven visual question answering for Malayalam. Neural Comput. Appl. 36(24): 14691-14708 (2024) - [j9]William Philipp, R. Yashwanthika, O. K. Sikha, Raul Benitez:
Generation of Rule-Based Explanations of CNN Classifiers Using Regional Features. Neural Process. Lett. 56(5): 230 (2024) - [c5]O. K. Sikha, Adrian Galdran, Meritxell Riera-Marin, Javier García, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester:
Uncertainty Aware Segmentation Quality Assessment in Medical Images. ISBI 2024: 1-5 - [c4]O. K. Sikha, Raul Benitez:
Deep Feature Discriminability as a Diagnostic Measure of Overfitting in CNN Models. SAI (1) 2024: 218-233 - 2023
- [j8]V. A. Ashwath, O. K. Sikha, Raul Benitez:
TS-CNN: A Three-Tier Self-Interpretable CNN for Multi-Region Medical Image Classification. IEEE Access 11: 78402-78418 (2023) - [j7]Sudhesh K. M., V. Sowmya, Sainamole Kurian P., O. K. Sikha:
AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition. Eng. Appl. Artif. Intell. 120: 105836 (2023) - [c3]Akash Guna R. T., Raul Benitez, O. K. Sikha:
Ante-Hoc Generation of Task-Agnostic Interpretation Maps. CVPR Workshops 2023: 3764-3769 - [c2]Akash Guna R. T., Raul Benitez, O. K. Sikha:
Ante-Hoc Generation of Task-Agnostic Interpretation Maps. XAI4CV 2023: 3764-3769 - [p1]R. T. Akash Guna, O. K. Sikha:
Content-Based Image Retrieval Using Deep Features and Hamming Distance. Smart Computer Vision 2023: 151-179 - [i3]Akash Guna R. T., Raul Benitez, O. K. Sikha:
Interpreting CNN Predictions using Conditional Generative Adversarial Networks. CoRR abs/2301.08067 (2023) - [i2]Shankara Narayanan V, O. K. Sikha, Raul Benitez:
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation. CoRR abs/2310.20292 (2023) - 2022
- [j6]Jithin Velayudhan, M. D. Narayanan, Ashesh Saha, O. K. Sikha:
Synchronization of coupled friction-induced oscillators - A Dynamic Mode Decomposition Perspective. J. Intell. Fuzzy Syst. 43(4): 4363-4378 (2022) - [j5]O. K. Sikha, Bandla Bharath:
VGG16-random fourier hybrid model for masked face recognition. Soft Comput. 26(22): 12795-12810 (2022) - 2021
- [j4]O. K. Sikha, Soman K. P.:
Dynamic Mode Decomposition based salient edge/region features for content based image retrieval. Multim. Tools Appl. 80(10): 15937-15958 (2021) - 2020
- [j3]O. K. Sikha, K. P. Soman, S. Sachin Kumar:
VMD-DMD coupled data-driven approach for visual saliency in noisy images. Multim. Tools Appl. 79(3-4): 1951-1970 (2020) - [j2]O. K. Sikha, K. P. Soman:
Multi-resolution dynamic mode decomposition-based salient region detection in noisy images. Signal Image Video Process. 14(1): 167-175 (2020)
2010 – 2019
- 2018
- [j1]O. K. Sikha, S. Sachin Kumar, K. P. Soman:
Salient region detection and object segmentation in color images using dynamic mode decomposition. J. Comput. Sci. 25: 351-366 (2018) - 2016
- [i1]O. K. Sikha, S. Sachin Kumar, K. P. Soman:
Salient Region Detection and Segmentation in Images using Dynamic Mode Decomposition. CoRR abs/1607.03021 (2016) - 2015
- [c1]M. Suchithra, O. K. Sikha:
A Novel Image Encryption Scheme Using an Irrevocable Multimodal Biometric Key. SSCC 2015: 256-264
Coauthor Index
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