Kumar T. Rajamani

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 18

Top Topics

Semantic Segmentation

Mri Brain Images

Top Venues

Medical Imaging: Image Processing

Multim. Tools Appl.

Publications

Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich
Attention-augmented U-Net (AA-U-Net) for semantic segmentation. Signal Image Video Process. 17 (4) (2023)
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Ashwin Venkateshvaran, Andreas Triantafyllopoulos, Alexander Kathan, Björn W. Schuller
Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation. IEEE Access 11 (2023)
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
A novel and simple approach to regularise attention frameworks and its efficacy in segmentation. EMBC (2023)
Pullalarevu Karthik, Mansi Parashar, S. Sofana Reka, Kumar T. Rajamani, Mattias P. Heinrich
Semantic segmentation for plant phenotyping using advanced deep learning pipelines. Multim. Tools Appl. 81 (3) (2022)
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music. MMSP (2021)
Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich
Learning inverse consistent 3D groupwise registration with deforming autoencoders. Medical Imaging: Image Processing (2021)
Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani
DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration. Medical Imaging: Image Processing (2021)
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller
A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition. ICASSP (2021)
Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation. J. Biomed. Informatics 119 (2021)
Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
Emotion and Theme Recognition in Music Using Attention-Based Methods. MediaEval (2020)
K. Gayathri Devi, R. Radhakrishnan, Kumar T. Rajamani
Segmentation of colon and removal of opacified fluid for virtual colonoscopy. Pattern Anal. Appl. 21 (1) (2018)
I. Syed Muhammedh Ajwahir, Kumar T. Rajamani, S. Ibrahim Sadhar
A Novel Technique for Splat Generation and Patch Level Prediction in Diabetic Retinopathy. MIUA (2017)
C. C. Benson, V. L. Lajish, Kumar T. Rajamani
Robust classification of MR brain images based on fractal dimension analysis. ICACCI (2017)
Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht
Gaussian Process Density Counting from Weak Supervision. ECCV (1) (2016)
C. C. Benson, V. Deepa, V. L. Lajish, Kumar T. Rajamani
Brain tumor segmentation from MR brain images using improved fuzzy c-means clustering and watershed algorithm. ICACCI (2016)
Selvakumar Karuppusamy, Jovitha Jerome, Kumar T. Rajamani, Nishanth Shankar
Real-Time Vision Based Driver Drowsiness Detection Using Partial Least Squares Analysis. J. Signal Process. Syst. 85 (2) (2016)
Amruthavarshini, Kavya Venkatesan, K. S. Geetha, Digvijay Singh, Kumar T. Rajamani
Multiple instance learning for the determination of appropriate images for fundus image algorithms. ICACCI (2016)
Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht
Variational Weakly Supervised Gaussian Processes. BMVC (2016)
Priya Rani, Elagiri Ramalingam Rajkumar, Kumar T. Rajamani, Melih Kandemir, Digvijay Singh
Detection of Retinopathy of Prematurity using multiple instance learning. ICACCI (2015)
Benson C. C., Lajish V. L., Kumar T. Rajamani
Brain tumor extraction from MRI brain images using marker based watershed algorithm. ICACCI (2015)
Sai Vignesh T, Siva Subramaniyan V, Kumar T. Rajamani, Siva Sankara Sai S
An interactive GUI tool for thyroid Uptake studies using Gamma Camera. ICACCI (2014)
Guoyan Zheng, Xiao Dong, Kumar T. Rajamani, Xuan Zhang, Martin Styner, Ramesh U. Thoranaghatte, Lutz-Peter Nolte, Miguel Ángel González Ballester
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. IEEE Trans. Biomed. Eng. 54 (12) (2007)
Kumar T. Rajamani, Martin Andreas Styner, Haydar Talib, Guoyan Zheng, Lutz-Peter Nolte, Miguel Ángel González Ballester
Statistical deformable bone models for robust 3D surface extrapolation from sparse data. Medical Image Anal. 11 (2) (2007)
Guoyan Zheng, Kumar T. Rajamani
An optimal three-stage method for anatomical shape reconstruction from sparse information using a dense surface point distribution model. Medical Imaging: Image-Guided Procedures (2006)
Guoyan Zheng, Kumar T. Rajamani, Lutz-Peter Nolte
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. ACCV (2) (2006)
Haydar Talib, Kumar T. Rajamani, Jens Kowal, Martin Styner, Miguel Ángel González Ballester
Assessing the feasibility of ultrasound-initialized deformable bone models. Medical Imaging: Image-Guided Procedures (2006)
Kumar T. Rajamani, Miguel Ángel González Ballester, Lutz-Peter Nolte, Martin Styner
A novel and stable approach to anatomical structure morphing for enhanced intraoperative 3D visualization. Medical Imaging: Image-Guided Procedures (2005)
Kumar T. Rajamani, Lutz-Peter Nolte, Martin Styner
A Novel Approach to Anatomical Structure Morphing for Intraoperative Visualization. MICCAI (2) (2004)
Kumar T. Rajamani, Johannes Hug, Lutz-Peter Nolte, Martin Styner
Bone morphing with statistical shape models for enhanced visualization. Medical Imaging: Image-Guided Procedures (2004)
Kumar T. Rajamani, Martin Styner, Sarang C. Joshi
Bone Model Morphing for Enhanced Surgical Visualization. ISBI (2004)
Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte, Gabriel Zsemlye, Gábor Székely, Christopher J. Taylor, Rhodri H. Davies
Evaluation of 3D Correspondence Methods for Model Building. IPMI (2003)