Neural network-based robot visual positioning for intelligent assembly. - Dhanesh Ramachandram; Mandava Rajeswari (J. Intell. Manuf., 2004)

Overlaid Text Recognition for Matching Soccer-Concept Keywords. - Alfian Abdul Halin; Mandava Rajeswari; Dhanesh Ramachandram (CGIV, 2008)

Object Class Recognition Using NEAT-Evolved Artificial Neural Network. - Mozaherul Hoque Abul Hasanat; Siti Zubaidah Harun; Dhanesh Ramachandram; Mandava Rajeswari (CGIV, 2008)

Object Based Clustering Using Hybrid Algorithms. - Nor Hafizah Abd. Razak; Noridayu Bt Manshor; Mandava Rajeswari; Dhanesh Ramachandram (CGIV, 2008)

Textured Renyi Entropy for Image Thresholding. - Ahmad Adel Abu Shareha; Mandava Rajeswari; Dhanesh Ramachandram (CGIV, 2008)

Segmentation of Abdominal Volume Dataset Slices Guided by Single Annotated Image. - Mahmoud Jawarneh; Mandava Rajeswari; Dhanesh Ramachandram; Ibrahim Lutfi Shuaib (BMEI, 2009)

A Web-Based Framework for Distributed Medical Image Processing Using Image Markup Language (IML). - Majid Pourdadash Miri; Hamidreza Pooshfam; Mandava Rajeswari; Dhanesh Ramachandram (EMS, 2009)

Multi-feature Based Object Class Recognition. - Noridayu Bt Manshor; Mandava Rajeswari; Dhanesh Ramachandram (ICDIP, 2009)

A web-based framework for resource sharing and collaborative medical image annotation. - Hamidreza Pooshfam; Mandava Rajeswari; Dhanesh Ramachandram (MoMM, 2009)

A Novel Image Segmentation Algorithm Based on Harmony Fuzzy Search Algorithm. - Osama Moh'd Alia; Mandava Rajeswari; Dhanesh Ramachandram; Mohd Ezane Aziz (SoCPaR, 2009)

Osteosarcoma segmentation in MRI using dynamic Harmony Search based clustering. - Mandava Rajeswari; Osama Moh'd Alia; Chin-Wei Bong; Dhanesh Ramachandram; Mohd Ezane Aziz; Ibrahim Lutfi Shuaib (SoCPaR, 2010)

Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study. - Mozaherul Hoque Abul Hasanat; Dhanesh Ramachandram; Mandava Rajeswari (Artif. Intell. Rev., 2010)

Wavelet energy-guided level set-based active contour: A segmentation method to segment highly similar regions. - Anusha Achuthan; Mandava Rajeswari; Dhanesh Ramachandram; Mohd Ezane Aziz; Ibrahim Lutfi Shuaib (Comput. Biol. Medicine, 2010)

An Optimization Algorithm Based on Harmony Search for RNA Secondary Structure Prediction. - Abdulqader M. Mohsen; Ahamad Tajudin Abdul Khader; Dhanesh Ramachandram (Recent Advances In Harmony Search Algorithm, 2010)

An unsupervised approach to learn the kernel functions: from global influence to local similarity. - M. Ehsan Abbasnejad; Dhanesh Ramachandram; Mandava Rajeswari (Neural Comput. Appl., 2011)

A survey of the state of the art in learning the kernels. - M. Ehsan Abbasnejad; Dhanesh Ramachandram; Mandava Rajeswari (Knowl. Inf. Syst., 2012)

Multimodal concept fusion using semantic closeness for image concept disambiguation. - Ahmad Adel Abu Shareha; Mandava Rajeswari; Latifur Khan; Dhanesh Ramachandram (Multim. Tools Appl., 2012)

Structure optimization for deep multimodal fusion networks using graph-induced kernels. - Dhanesh Ramachandram; Michal Lisicki; Timothy J. Shields; Mohamed R. Amer; Graham W. Taylor (ESANN, 2017)

Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks. - Terrance Devries; Dhanesh Ramachandram (CoRR, 2017)

LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network. - Dhanesh Ramachandram; Terrance Devries (CoRR, 2017)

Deep Multimodal Learning: A Survey on Recent Advances and Trends. - Dhanesh Ramachandram; Graham W. Taylor (IEEE Signal Process. Mag., 2017)

Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures. - Dhanesh Ramachandram; Michal Lisicki; Timothy J. Shields; Mohamed R. Amer; Graham W. Taylor (Neurocomputing, 2018)

Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing. - Rishabh Gupta; Lucas Goldstone; Shira Eisen; Dhanesh Ramachandram; Amy Cassata; Robert D. J. Fraser; Jose L. Ramirez-Garcialuna; Robert Bartlett; Justin Allport (IEEE J. Biomed. Health Informatics, 2024)

Bridging Electronic Health Records and Clinical Texts: Contrastive Learning for Enhanced Clinical Tasks. - Sara Ketabi; Dhanesh Ramachandram (CoRR, 2025)

CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models. - Dhanesh Ramachandram (CoRR, 2025)

Transparent AI: The Case for Interpretability and Explainability. - Dhanesh Ramachandram; Himanshu Joshi; Judy Zhu; Dhari Gandhi; Lucas Hartman; Ananya Raval (CoRR, 2025)