Kumar T. Rajamani

According to our database, Kumar T. Rajamani authored at least 41 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Attention-augmented U-Net (AA-U-Net) for semantic segmentation.

Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich

Signal Image Video Process., June, 2023

Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Ashwin Venkateshvaran, Andreas Triantafyllopoulos, Alexander Kathan, Björn W. Schuller

IEEE Access, 2023

A novel and simple approach to regularise attention frameworks and its efficacy in segmentation.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Classification of Low-Grade and High-Grade Glioma from MR Brain Images Using Multiple-Instance Learning with Combined Feature Set.

C. C. Benson, V. L. Lajish, Kumar Rajamani

Vietnam. J. Comput. Sci., 2022

Semantic segmentation for plant phenotyping using advanced deep learning pipelines.

Pullalarevu Karthik, Mansi Parashar, S. Sofana Reka, Kumar T. Rajamani, Mattias P. Heinrich

Multim. Tools Appl., 2022

Novel no-reference multi-dimensional perceptual similarity metric.

Srividya Tirunellai Rajamani, Kumar Rajamani, Priya Rani, Rashmita Barick, Ramasubramanya M. S, Sridevi V. Aithal, Elagiri Ramalingam Rajkumar, Sahana D. Gowda, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Novel Insights on Induced Sparsity in Multi-Time Attention Networks.

Srividya Tirunellai Rajamani, Kumar Rajamani, Alexander Kathan, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Deformable attention (DANet) for semantic image segmentation.

Kumar Rajamani, Sahana D. Gowda, Vishwa Nedunoori Tej, Srividya Tirunellai Rajamani

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Evaluation Tool to Diagnose Faults and Discrepancy in Semi-Automated or Manual Annotations in Ultrasound Cine Loops (Videos).

Gouthamaan Manimaran, Urmila Airsang, Soumabha Bhowmick, Abhijith Girin, Luoluo Liu, Carol Lane, Dheepak S, Celine Firtion, Pallavi Vajinepalli, Kumar Thirunellai Rajamani

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation.

Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich

J. Biomed. Informatics, 2021

Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Learning inverse consistent 3D groupwise registration with deforming autoencoders.

Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration.

Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Emotion and Theme Recognition in Music Using Attention-Based Methods.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2018

Segmentation of colon and removal of opacified fluid for virtual colonoscopy.

K. Gayathri Devi, R. Radhakrishnan, Kumar T. Rajamani

Pattern Anal. Appl., 2018

2017

A Novel Technique for Splat Generation and Patch Level Prediction in Diabetic Retinopathy.

I. Syed Muhammedh Ajwahir, Kumar T. Rajamani, S. Ibrahim Sadhar

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

A novel deep learning based method for retinal lesion detection.

Bhavani Sambaturu, Bhargav Srinivasan, Sahana Muraleedhara Prabhu, Kumar Thirunellai Rajamani, Thennarasu Palanisamy, Girish Haritz, Digvijay Singh

Proceedings of the 2017 International Conference on Advances in Computing, 2017

Robust classification of MR brain images based on fractal dimension analysis.

C. C. Benson, V. L. Lajish, Kumar T. Rajamani

Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016

Real-Time Vision Based Driver Drowsiness Detection Using Partial Least Squares Analysis.

Selvakumar Karuppusamy, Jovitha Jerome, Kumar T. Rajamani, Nishanth Shankar

J. Signal Process. Syst., 2016

Robust face identification using DTCWT and PCA subspace based sparse representation.

Selvakumar Karuppusamy, Jovitha Jerome, Kumar Rajamani

Multim. Tools Appl., 2016

A fast algorithm for optic disc segmentation in fundus images.

R. Santhakumar, Elagiri Ramalingam Rajkumar, Megha Tandur, K. S. Geetha, Kumar Thirunellai Rajamani, Girish Haritz

Proceedings of the 2016 International Conference on Advances in Computing, 2016

Brain tumor segmentation from MR brain images using improved fuzzy c-means clustering and watershed algorithm.

C. C. Benson, V. Deepa, V. L. Lajish, Kumar T. Rajamani

Proceedings of the 2016 International Conference on Advances in Computing, 2016

Multiple instance learning for the determination of appropriate images for fundus image algorithms.

Amruthavarshini, Kavya Venkatesan, K. S. Geetha, Digvijay Singh, Kumar T. Rajamani

Proceedings of the 2016 International Conference on Advances in Computing, 2016

Gaussian Process Density Counting from Weak Supervision.

Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht

Proceedings of the Computer Vision - ECCV 2016, 2016

Variational Weakly Supervised Gaussian Processes.

Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Detection of Retinopathy of Prematurity using multiple instance learning.

Priya Rani, Elagiri Ramalingam Rajkumar, Kumar T. Rajamani, Melih Kandemir, Digvijay Singh

Proceedings of the 2015 International Conference on Advances in Computing, 2015

Brain tumor extraction from MRI brain images using marker based watershed algorithm.

Benson C. C., Lajish V. L., Kumar T. Rajamani

Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014

An interactive GUI tool for thyroid Uptake studies using Gamma Camera.

Sai Vignesh T, Siva Subramaniyan V, Kumar T. Rajamani, Siva Sankara Sai S

Proceedings of the 2014 International Conference on Advances in Computing, 2014

2012

Detection of abrupt motion in DCE-MRI.

Kumar Rajamani, Dattesh D. Shanbhag, Rakesh Mullick, Sohan Ranjan, Uday Patil, Sandeep N. Gupta

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

Data hiding scheme for medical images using lossless code for mobile HIMS.

V. Naveen Kumar, Mrigank Rochan, Santosh Hariharan, Kumar Rajamani

Proceedings of the Third International Conference on Communication Systems and Networks, 2011

2007

Accurate and Robust Reconstruction of a Surface Model of the Proximal Femur From Sparse-Point Data and a Dense-Point Distribution Model for Surgical Navigation.

Guoyan Zheng, Xiao Dong, Kumar T. Rajamani, Xuan Zhang, Martin Styner, Ramesh U. Thoranaghatte, Lutz-Peter Nolte, Miguel Ángel González Ballester

IEEE Trans. Biomed. Eng., 2007

Statistical deformable bone models for robust 3D surface extrapolation from sparse data.

Kumar T. Rajamani, Martin Andreas Styner, Haydar Talib, Guoyan Zheng, Lutz-Peter Nolte, Miguel Ángel González Ballester

Medical Image Anal., 2007

2006

An optimal three-stage method for anatomical shape reconstruction from sparse information using a dense surface point distribution model.

Guoyan Zheng, Kumar T. Rajamani

Proceedings of the Medical Imaging 2006: Visualization, 2006

Assessing the feasibility of ultrasound-initialized deformable bone models.

Haydar Talib, Kumar T. Rajamani, Jens Kowal, Martin Styner, Miguel Ángel González Ballester

Proceedings of the Medical Imaging 2006: Visualization, 2006

Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from Sparse Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study.

Guoyan Zheng, Kumar T. Rajamani, Lutz-Peter Nolte

Proceedings of the Computer Vision, 2006

2005

A novel and stable approach to anatomical structure morphing for enhanced intraoperative 3D visualization.

Kumar T. Rajamani, Miguel Ángel González Ballester, Lutz-Peter Nolte, Martin Styner

Proceedings of the Medical Imaging 2005: Visualization, 2005

2004

Bone morphing with statistical shape models for enhanced visualization.

Kumar T. Rajamani, Johannes Hug, Lutz-Peter Nolte, Martin Styner

Proceedings of the Medical Imaging 2004: Visualization, 2004

A Novel Approach to Anatomical Structure Morphing for Intraoperative Visualization.

Kumar T. Rajamani, Lutz-Peter Nolte, Martin Styner

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Bone Model Morphing for Enhanced Surgical Visualization.

Kumar T. Rajamani, Martin Styner, Sarang C. Joshi

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

Evaluation of 3D Correspondence Methods for Model Building.

Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte, Gabriel Zsemlye, Gábor Székely, Christopher J. Taylor, Rhodri H. Davies

Proceedings of the Information Processing in Medical Imaging, 2003