Ramanathan Sethuraman

According to our database, Ramanathan Sethuraman authored at least 28 papers between 2001 and 2023.

Collaborative distances:

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

2023

Designing Deep Neural High-Density Compression Engines for Radiology Images.

Aditya Raj, Rakshith Sathish, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet

Circuits Syst. Signal Process., February, 2023

MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication.

Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, Balaraman Ravindran, Manikandan Narayanan

PLoS Comput. Biol., 2023

Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation.

Ravi Kakaiya, Rakshith Sathish, Debdoot Sheet, Ramanathan Sethuraman

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

2022

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM).

Arunava Chakravarty, Tandra Sarkar, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet

Dataset, March, 2022

2021

COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity.

Vladimir Naumov, Evgeny Putin, Stefan Pushkov, Ekaterina Kozlova, Konstantin Romantsov, Alexander A. Kalashnikov, Fedor Galkin, Nina Tihonova, Anastasia Shneyderman, Egor Galkin, Arsenii Zinkevich, Stephanie M. Cope, Ramanathan Sethuraman, Tudor I. Oprea, Alexander T. Pearson, Savas Tay, Nishant Agrawal, Alexey Dubovenko, Quentin Vanhaelen, Ivan Ozerov, Alex Aliper, Evgeny Izumchenko, Alex Zhavoronkov

PLoS Comput. Biol., 2021

Distill DSM: Computationally efficient method for segmentation of medical imaging volumes.

Harsh Maheshwari, Vidit Goel, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Federated Learning for Site Aware Chest Radiograph Screening.

Arunava Chakravarty, Avik Kar, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network.

Anand Mooga, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss.

Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.

Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms.

Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.

Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018

Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain.

Ekagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms.

Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2008

Memory-Centric Video Processing.

Aleksandar Beric, Jef L. van Meerbergen, Gerard de Haan, Ramanathan Sethuraman

IEEE Trans. Circuits Syst. Video Technol., 2008

2006

Low-Cost Super-Resolution Algorithms Implementation Over a HW/SW Video Compression Platform.

Gustavo Marrero Callicó, Rafael Peset Llopis, Sebastián López, José Francisco López, Antonio Núñez, Ramanathan Sethuraman, Roberto Sarmiento

EURASIP J. Adv. Signal Process., 2006

2005

An Efficient Picture-Rate Up-Converter.

Aleksandar Beric, Gerard de Haan, Ramanathan Sethuraman, Jef L. van Meerbergen

J. VLSI Signal Process., 2005

Application Specific Instruction-Set Processor Template for Motion Estimation in Video Applications.

Harm Peters, Ramanathan Sethuraman, Aleksandar Beric, Patrick Meuwissen, Srinivasan Balakrishnan, Carlos A. Alba Pinto, W. M. Kruijtzer, Fabian Ernst, Ghiath Alkadi, Jef L. van Meerbergen, Gerard de Haan

IEEE Trans. Circuits Syst. Video Technol., 2005

Memory-Centric Motion Estimator.

Aleksandar Beric, Ramanathan Sethuraman, Jef L. van Meerbergen, Gerard de Haan

Proceedings of the 18th International Conference on VLSI Design (VLSI Design 2005), 2005

Algorithm/architecture co-design of the generalized sampling theorem based de-interlacer [video signal processing].

Aleksandar Beric, Gerard de Haan, Jef L. van Meerbergen, Ramanathan Sethuraman

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Segment-based motion estimation using a block-based engine.

Patrick Meuwissen, Ramanathan Sethuraman, Fabian Ernst, Harm Peters, Rafael Peset Llopis

Proceedings of the 13th European Signal Processing Conference, 2005

2004

A 27 mW 1.1 mm2 Motion Estimator for Picture-Rate Up-converter.

Aleksandar Beric, Ramanathan Sethuraman, Harm Peters, Jef L. van Meerbergen, Gerard de Haan, Carlos A. Alba Pinto

Proceedings of the 17th International Conference on VLSI Design (VLSI Design 2004), 2004

Streaming scratchpad memory organization for video applications.

Aleksandar Beric, Ramanathan Sethuraman, Harm Peters, Gerard Veldman, Jef L. van Meerbergen, Gerard de Haan

Proceedings of the Second IASTED International Conference on Circuits, 2004

2003

Low-Cost and Real-Time Super-Resolution over a Video Encoder IP.

Gustavo Marrero Callicó, Antonio Núñez, Rafael Peset Llopis, Ramanathan Sethuraman

Proceedings of the 4th International Symposium on Quality of Electronic Design (ISQED 2003), 2003

Towards an efficient high quality picture-rate up-converter.

Aleksandar Beric, Gerard de Haan, Jef L. van Meerbergen, Ramanathan Sethuraman

Proceedings of the 2003 International Conference on Image Processing, 2003

A low-cost and low-power multi-standard video encoder.

Rafael Peset Llopis, Ramanathan Sethuraman, Carlos A. Alba Pinto, Harm Peters, Steffen Maul, Marcel Oosterhuis

Proceedings of the 1st IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2003

2002

C-HEAP: A Heterogeneous Multi-Processor Architecture Template and Scalable and Flexible Protocol for the Design of Embedded Signal Processing Systems.

André Nieuwland, Jeffrey Kang, Om Prakash Gangwal, Ramanathan Sethuraman, Natalino G. Busá, Kees Goossens, Rafael Peset Llopis, Paul E. R. Lippens

Des. Autom. Embed. Syst., 2002

2001

HW-SW Co-Design and Verification of a Multi-Standard Video and Image Codec.

Rafael Peset Llopis, Marcel Oosterhuis, Ramanathan Sethuraman, Paul E. R. Lippens, Albert van der Werf, Steffen Maul, Jim Lin

Proceedings of the 2nd International Symposium on Quality of Electronic Design (ISQED 2001), 2001