Dhanesh Ramachandram

29 papers B 1C 1Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Features to Actions: Explainability in Traditional and Agentic AI Systems. CoRR Sindhuja Chaduvula, Jessee Ho, Kina Kim, Aravind Narayanan, Mahshid Alinoori, Muskan Garg, Dhanesh Ramachandram, Shaina Raza
2025	J	`jnl`	Bridging Electronic Health Records and Clinical Texts: Contrastive Learning for Enhanced Clinical Tasks. CoRR Sara Ketabi, Dhanesh Ramachandram
2025	J	`jnl`	CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models. CoRR Dhanesh Ramachandram
2025	J	`jnl`	Interpretable Fine-Gray Deep Survival Model for Competing Risks: Predicting Post-Discharge Foot Complications for Diabetic Patients in Ontario. CoRR Dhanesh Ramachandram, Anne Loefler, Surain B. Roberts, Amol Verma, Maia Norman, Fahad Razak, Conrad Pow, Charles de Mestral
2025	J	`jnl`	Transparent AI: The Case for Interpretability and Explainability. CoRR Dhanesh Ramachandram, Himanshu Joshi, Judy Zhu, Dhari Gandhi, Lucas Hartman, Ananya Raval
2024	J	`jnl`	Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing. IEEE J. Biomed. Health Informatics Rishabh Gupta, Lucas Goldstone, Shira Eisen, Dhanesh Ramachandram, Amy Cassata, Robert D. J. Fraser, Jose L. Ramirez-Garcialuna, Robert Bartlett, Justin Allport
2018	J	`jnl`	Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures. Neurocomputing Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor
2017	J	`jnl`	Deep Multimodal Learning: A Survey on Recent Advances and Trends. IEEE Signal Process. Mag. Dhanesh Ramachandram, Graham W. Taylor
2017	J	`jnl`	LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network. CoRR Dhanesh Ramachandram, Terrance DeVries
2017	J	`jnl`	Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks. CoRR Terrance DeVries, Dhanesh Ramachandram
2017	J	`jnl`	Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels. CoRR Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor
2017	B	`conf`	Structure optimization for deep multimodal fusion networks using graph-induced kernels. ESANN Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor
2012	J	`jnl`	A survey of the state of the art in learning the kernels. Knowl. Inf. Syst. M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari
2012	J	`jnl`	Multimodal concept fusion using semantic closeness for image concept disambiguation. Multim. Tools Appl. Ahmad Adel Abu Shareha, Mandava Rajeswari, Latifur Khan, Dhanesh Ramachandram
2011	J	`jnl`	An unsupervised approach to learn the kernel functions: from global influence to local similarity. Neural Comput. Appl. M. Ehsan Abbasnejad, Dhanesh Ramachandram, Mandava Rajeswari
2010	—	`ch.`	An Optimization Algorithm Based on Harmony Search for RNA Secondary Structure Prediction. Recent Advances In Harmony Search Algorithm Abdulqader M. Mohsen, Ahamad Tajudin Abdul Khader, Dhanesh Ramachandram
2010	J	`jnl`	Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study. Artif. Intell. Rev. Mozaherul Hoque Abul Hasanat, Dhanesh Ramachandram, Mandava Rajeswari
2010	—	`conf`	Osteosarcoma segmentation in MRI using dynamic Harmony Search based clustering. SoCPaR Mandava Rajeswari, Osama Moh'd Alia, Chin-Wei Bong, Dhanesh Ramachandram, Mohd Ezane Aziz, Ibrahim Lutfi Shuaib
2010	J	`jnl`	Wavelet energy-guided level set-based active contour: A segmentation method to segment highly similar regions. Comput. Biol. Medicine Anusha Achuthan, Mandava Rajeswari, Dhanesh Ramachandram, Mohd Ezane Aziz, Ibrahim Lutfi Shuaib
2009	—	`conf`	A Novel Image Segmentation Algorithm Based on Harmony Fuzzy Search Algorithm. SoCPaR Osama Moh'd Alia, Mandava Rajeswari, Dhanesh Ramachandram, Mohd Ezane Aziz
2009	—	`conf`	A Web-Based Framework for Distributed Medical Image Processing Using Image Markup Language (IML). EMS Majid Pourdadash Miri, Hamidreza Pooshfam, Mandava Rajeswari, Dhanesh Ramachandram
2009	C	`conf`	A web-based framework for resource sharing and collaborative medical image annotation. MoMM Hamidreza Pooshfam, Mandava Rajeswari, Dhanesh Ramachandram
2009	—	`conf`	Multi-feature Based Object Class Recognition. ICDIP Noridayu Bt Manshor, Mandava Rajeswari, Dhanesh Ramachandram
2009	—	`conf`	Segmentation of Abdominal Volume Dataset Slices Guided by Single Annotated Image. BMEI Mahmoud Jawarneh, Mandava Rajeswari, Dhanesh Ramachandram, Ibrahim Lutfi Shuaib
2008	—	`conf`	Object Based Clustering Using Hybrid Algorithms. CGIV Nor Hafizah Abd. Razak, Noridayu Bt Manshor, Mandava Rajeswari, Dhanesh Ramachandram
2008	—	`conf`	Object Class Recognition Using NEAT-Evolved Artificial Neural Network. CGIV Mozaherul Hoque Abul Hasanat, Siti Zubaidah Harun, Dhanesh Ramachandram, Mandava Rajeswari
2008	—	`conf`	Overlaid Text Recognition for Matching Soccer-Concept Keywords. CGIV Alfian Abdul Halin, Mandava Rajeswari, Dhanesh Ramachandram
2008	—	`conf`	Textured Renyi Entropy for Image Thresholding. CGIV Ahmad Adel Abu Shareha, Mandava Rajeswari, Dhanesh Ramachandram
2004	J	`jnl`	Neural network-based robot visual positioning for intelligent assembly. J. Intell. Manuf. Dhanesh Ramachandram, Mandava Rajeswari