D. Ramachandram

发表

Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study

D. Ramachandram, J. Ramirez-Garcialuna, Robert D J Fraser, 2022, JMIR mHealth and uHealth.

Harmony search-based cluster initialization for fuzzy c-means segmentation of MR images

D. Ramachandram, O. Alia, R. Mandava, 2009, TENCON 2009 - 2009 IEEE Region 10 Conference.

A Short Review of Neural Network Techniques in Visual Servoing of Robotic Manipulators

D. Ramachandram, M. Rajeswari, 2003 .

Segmentation And Quantification Of The Cupriavidus Sp. Bacterium Using Microscopy Images

D. Ramachandram, M. Rajeswari, S. Sandrasekaran, 2008, 2008 International Conference on Signal Processing, Communications and Networking.

Multimodal concept fusion using semantic closeness for image concept disambiguation

Ahmad Adel Abu Shareha, L. Khan, D. Ramachandram, 2012, Multimedia Tools and Applications.

A Novel Image Segmentation Algorithm Based on Harmony Fuzzy Search Algorithm

Mandava Rajeswari, Dhanesh Ramachandram, Mohd Ezane Aziz, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Object Class Recognition Using NEAT-Evolved Artificial Neural Network

Mandava Rajeswari, Dhanesh Ramachandram, Mozaherul Hoque Abul Hasanat, 2008, 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation.

Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures

Mohamed R. Amer, Dhanesh Ramachandram, Graham W. Taylor, 2018, Neurocomputing.

Deep Multimodal Learning: A Survey on Recent Advances and Trends

Graham W. Taylor, Dhanesh Ramachandram, D. Ramachandram, 2017, IEEE Signal Processing Magazine.

Predicting the Minimum Free Energy RNA Secondary Structures using Harmony Search Algorithm

Dhanesh Ramachandram, Ahamad Tajudin Khader, Abdulqader M. Mohsen, 2009 .

An unsupervised approach to learn the kernel functions: from global influence to local similarity

Mandava Rajeswari, Dhanesh Ramachandram, Ehsan Abbasnejad, 2011, Neural Computing and Applications.

Comparison of HSRNAFold and RNAFold algorithms for RNA secondary structure prediction

Dhanesh Ramachandram, Ahamad Tajudin Khader, Abdulqader M. Mohsen, 2009, TENCON 2009 - 2009 IEEE Region 10 Conference.

Feature Fusion in Improving Object Class Recognition

A. R. Rahiman, Mandava Rajeswari, Dhanesh Ramachandram, 2012 .

Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study

Mandava Rajeswari, Dhanesh Ramachandram, Mozaherul Hoque Abul Hasanat, 2010, Artificial Intelligence Review.

An Optimization Algorithm Based on Harmony Search for RNA Secondary Structure Prediction

Dhanesh Ramachandram, Ahamad Tajudin Abdul Khader, Abdulqader M. Mohsen, 2010, Recent Advances In Harmony Search Algorithm.

Dynamic fuzzy clustering using Harmony Search with application to image segmentation

Dhanesh Ramachandram, Mohd Ezane Aziz, Osama Moh'd Alia, 2009, 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

HSRNAFold: A harmony search algorithm for RNA secondary structure prediction based on minimum free energy

D. Ramachandram, A.T. Khader, A.M. Mohsen, 2008, 2008 International Conference on Innovations in Information Technology.

Skin Lesion Segmentation using Deep Hypercolumn Descriptors

Graham W. Taylor, Dhanesh Ramachandram, D. Ramachandram, 2017 .

LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network pdf

Dhanesh Ramachandram, Terrance Devries, Terrance Devries, 2017, ArXiv.

A survey of the state of the art in learning the kernels

Mandava Rajeswari, Dhanesh Ramachandram, Ehsan Abbasnejad, 2012, Knowledge and Information Systems.

Osteosarcoma segmentation in MRI using dynamic Harmony Search based clustering

Mandava Rajeswari, Dhanesh Ramachandram, Chin-Wei Bong, 2010, 2010 International Conference of Soft Computing and Pattern Recognition.

Automatic white matter lesion segmentation using an adaptive outlier detection method.

Dhanesh Ramachandram, Ibrahim Lutfi Shuaib, Rajeswari Mandava, 2012, Magnetic resonance imaging.

Automatic Target Recognition of SAR images using Random Subspace Ensemble classifier

Dhanesh Ramachandram, Zoha PourEbtehaj, D. Ramachandram, 2013, 2013 IEEE Conference on Systems, Process & Control (ICSPC).

Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks pdf

Dhanesh Ramachandram, Terrance Devries, Terrance Devries, 2017, ArXiv.

Wavelet energy-guided level set-based active contour: A segmentation method to segment highly similar regions

Mandava Rajeswari, Dhanesh Ramachandram, Ibrahim Lutfi Shuaib, 2010, Comput. Biol. Medicine.

Automatic Initialization of Contour for Level Set Algorithms Guided by Integration of Multiple Views to Segment Abdominal CT Scans

Dhanesh Ramachandram, Ibrahim Lutfi Shuaib, Rajeswari Mandava, 2010, 2010 Second International Conference on Computational Intelligence, Modelling and Simulation.

Wavelet Energy Guided Level Set for Segmenting Highly Similar Regions in Medical Images

Mandava Rajeswari, Dhanesh Ramachandram, Anusha Achuthan, 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

A Prototypical Simulation of Homicide Prevention with Territorial Autonomous Defense Systems

D. Ramachandram, T. Karthik, M. Rajeswari, 2005 .

Neural network-based robot visual positioning for intelligent assembly

Mandava Rajeswari, Dhanesh Ramachandram, D. Ramachandram, 2004, J. Intell. Manuf..

ConVeS: a context verification framework for object recognition system

Mandava Rajeswari, Dhanesh Ramachandram, Mozaherul Hoque Abul Hasanat, 2009 .

Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing

D. Ramachandram, J. Ramirez-Garcialuna, J. Allport, 2023, IEEE Journal of Biomedical and Health Informatics.