Kumar T. Rajamani

33 papers A 1B 2C 1Misc 1Journal 9Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automatic Contouring of Spinal Vertebrae on X-Ray using a Novel Sandwich U-Net Architecture. CoRR Sunil Munthumoduku Krishna Murthy, Kumar T. Rajamani, Srividya Tirunellai Rajamani, Yupei Li, Qiyang Sun, Björn W. Schuller
2024	—	`conf`	CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases. EMBC Srividya Tirunellai Rajamani, Kumar T. Rajamani, Angeline J, Karthika R, Björn W. Schuller
2023	—	`conf`	A novel and simple approach to regularise attention frameworks and its efficacy in segmentation. EMBC Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
2023	J	`jnl`	Attention-augmented U-Net (AA-U-Net) for semantic segmentation. Signal Image Video Process. Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich
2023	J	`jnl`	Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation. IEEE Access Srividya Tirunellai Rajamani, Kumar T. Rajamani, Ashwin Venkateshvaran, Andreas Triantafyllopoulos, Alexander Kathan, Björn W. Schuller
2022	J	`jnl`	Semantic segmentation for plant phenotyping using advanced deep learning pipelines. Multim. Tools Appl. Pullalarevu Karthik, Mansi Parashar, S. Sofana Reka, Kumar T. Rajamani, Mattias P. Heinrich
2021	Misc	`conf`	A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition. ICASSP Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller
2021	B	`conf`	DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration. Image Processing Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani
2021	J	`jnl`	Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation. J. Biomed. Informatics Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich
2021	B	`conf`	Learning inverse consistent 3D groupwise registration with deforming autoencoders. Image Processing Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich
2021	C	`conf`	Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music. MMSP Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
2020	—	`conf`	Emotion and Theme Recognition in Music Using Attention-Based Methods. MediaEval Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller
2018	J	`jnl`	Segmentation of colon and removal of opacified fluid for virtual colonoscopy. Pattern Anal. Appl. K. Gayathri Devi, R. Radhakrishnan, Kumar T. Rajamani
2017	—	`conf`	A Novel Technique for Splat Generation and Patch Level Prediction in Diabetic Retinopathy. MIUA I. Syed Muhammedh Ajwahir, Kumar T. Rajamani, S. Ibrahim Sadhar
2017	—	`conf`	Robust classification of MR brain images based on fractal dimension analysis. ICACCI C. C. Benson, V. L. Lajish, Kumar T. Rajamani
2016	—	`conf`	Brain tumor segmentation from MR brain images using improved fuzzy c-means clustering and watershed algorithm. ICACCI C. C. Benson, V. Deepa, V. L. Lajish, Kumar T. Rajamani
2016	—	`conf`	Gaussian Process Density Counting from Weak Supervision. ECCV (1) Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht
2016	—	`conf`	Multiple instance learning for the determination of appropriate images for fundus image algorithms. ICACCI Amruthavarshini, Kavya Venkatesan, K. S. Geetha, Digvijay Singh, Kumar T. Rajamani
2016	J	`jnl`	Real-Time Vision Based Driver Drowsiness Detection Using Partial Least Squares Analysis. J. Signal Process. Syst. Selvakumar Karuppusamy, Jovitha Jerome, Kumar T. Rajamani, Nishanth Shankar
2016	A	`conf`	Variational Weakly Supervised Gaussian Processes. BMVC Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht
2015	—	`conf`	Brain tumor extraction from MRI brain images using marker based watershed algorithm. ICACCI Benson C. C., Lajish V. L., Kumar T. Rajamani
2015	—	`conf`	Detection of Retinopathy of Prematurity using multiple instance learning. ICACCI Priya Rani, Elagiri Ramalingam Rajkumar, Kumar T. Rajamani, Melih Kandemir, Digvijay Singh
2014	—	`conf`	An interactive GUI tool for thyroid Uptake studies using Gamma Camera. ICACCI Sai Vignesh T, Siva Subramaniyan V, Kumar T. Rajamani, Siva Sankara Sai S
2007	J	`jnl`	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. Guoyan Zheng, Xiao Dong, Kumar T. Rajamani, Xuan Zhang, Martin Styner, Ramesh U. Thoranaghatte, Lutz-Peter Nolte, Miguel Ángel González Ballester
2007	J	`jnl`	Statistical deformable bone models for robust 3D surface extrapolation from sparse data. Medical Image Anal. Kumar T. Rajamani, Martin Andreas Styner, Haydar Talib, Guoyan Zheng, Lutz-Peter Nolte, Miguel Ángel González Ballester
2006	—	`conf`	An optimal three-stage method for anatomical shape reconstruction from sparse information using a dense surface point distribution model. Image-Guided Procedures Guoyan Zheng, Kumar T. Rajamani
2006	—	`conf`	Assessing the feasibility of ultrasound-initialized deformable bone models. Image-Guided Procedures Haydar Talib, Kumar T. Rajamani, Jens Kowal, Martin Styner, Miguel Ángel González Ballester
2006	—	`conf`	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) Guoyan Zheng, Kumar T. Rajamani, Lutz-Peter Nolte
2005	—	`conf`	A novel and stable approach to anatomical structure morphing for enhanced intraoperative 3D visualization. Image-Guided Procedures Kumar T. Rajamani, Miguel Ángel González Ballester, Lutz-Peter Nolte, Martin Styner
2004	—	`conf`	A Novel Approach to Anatomical Structure Morphing for Intraoperative Visualization. MICCAI (2) Kumar T. Rajamani, Lutz-Peter Nolte, Martin Styner
2004	—	`conf`	Bone Model Morphing for Enhanced Surgical Visualization. ISBI Kumar T. Rajamani, Martin Styner, Sarang C. Joshi
2004	—	`conf`	Bone morphing with statistical shape models for enhanced visualization. Image-Guided Procedures Kumar T. Rajamani, Johannes Hug, Lutz-Peter Nolte, Martin Styner
2003	—	`conf`	Evaluation of 3D Correspondence Methods for Model Building. IPMI Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte, Gabriel Zsemlye, Gábor Székely, Christopher J. Taylor, Rhodri H. Davies