Ramanathan Sethuraman

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 19

Top Topics

Centrality Measures

Nodule Detection

Multiple Instance

Top Venues

PLoS Comput. Biol.

Publications

Aditya Raj, Rakshith Sathish, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
Designing Deep Neural High-Density Compression Engines for Radiology Images. Circuits Syst. Signal Process. 42 (2) (2023)
Ravi Kakaiya, Rakshith Sathish, Debdoot Sheet, Ramanathan Sethuraman
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. ICME Workshops (2023)
Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, Balaraman Ravindran, Manikandan Narayanan
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication. PLoS Comput. Biol. 19 (4) (2023)
Ravi Kakaiya, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. CoRR (2023)
Arunava Chakravarty, Avik Kar, Ramanathan Sethuraman, Debdoot Sheet
Federated Learning for Site Aware Chest Radiograph Screening. ISBI (2021)
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
COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity. PLoS Comput. Biol. 17 (7) (2021)
Harsh Maheshwari, Vidit Goel, Ramanathan Sethuraman, Debdoot Sheet
Distill DSM: Computationally efficient method for segmentation of medical imaging volumes. MIDL (2021)
Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. CoRR (2020)
Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. EMBC (2020)
Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. EMBC (2020)
Anand Mooga, Ramanathan Sethuraman, Debdoot Sheet
Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network. ISBI (2020)
Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. CoRR (2020)
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. EMBC (2020)
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. CoRR (2020)
Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. CoRR (2020)
Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. EMBC (2020)
Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. CoRR (2018)
Ekagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman, Debdoot Sheet
Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain. ICVGIP (2018)
Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. CVPR Workshops (2018)
Aleksandar Beric, Jef L. van Meerbergen, Gerard de Haan, Ramanathan Sethuraman
Memory-Centric Video Processing. IEEE Trans. Circuits Syst. Video Technol. 18 (4) (2008)
Gustavo Marrero Callicó, Rafael Peset Llopis, Sebastián López, José Francisco López, Antonio Núñez, Ramanathan Sethuraman, Roberto Sarmiento
Low-Cost Super-Resolution Algorithms Implementation Over a HW/SW Video Compression Platform. EURASIP J. Adv. Signal Process. 2006 (2006)
Aleksandar Beric, Ramanathan Sethuraman, Jef L. van Meerbergen, Gerard de Haan
Memory-Centric Motion Estimator. VLSI Design (2005)
Patrick Meuwissen, Ramanathan Sethuraman, Fabian Ernst, Harm Peters, Rafael Peset Llopis
Segment-based motion estimation using a block-based engine. EUSIPCO (2005)
Aleksandar Beric, Gerard de Haan, Jef L. van Meerbergen, Ramanathan Sethuraman
Algorithm/architecture co-design of the generalized sampling theorem based de-interlacer [video signal processing]. ISCAS (3) (2005)
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
Application Specific Instruction-Set Processor Template for Motion Estimation in Video Applications. IEEE Trans. Circuits Syst. Video Technol. 15 (4) (2005)
Aleksandar Beric, Gerard de Haan, Ramanathan Sethuraman, Jef L. van Meerbergen
An Efficient Picture-Rate Up-Converter. J. VLSI Signal Process. 41 (1) (2005)
Aleksandar Beric, Ramanathan Sethuraman, Harm Peters, Gerard Veldman, Jef L. van Meerbergen, Gerard de Haan
Streaming scratchpad memory organization for video applications. Circuits, Signals, and Systems (2004)
Aleksandar Beric, Ramanathan Sethuraman, Harm Peters, Jef L. van Meerbergen, Gerard de Haan, Carlos A. Alba Pinto
A 27 mW 1.1 mm2 Motion Estimator for Picture-Rate Up-converter. VLSI Design (2004)
Rafael Peset Llopis, Ramanathan Sethuraman, Carlos A. Alba Pinto, Harm Peters, Steffen Maul, Marcel Oosterhuis
A low-cost and low-power multi-standard video encoder. CODES+ISSS (2003)
Aleksandar Beric, Gerard de Haan, Jef L. van Meerbergen, Ramanathan Sethuraman
Towards an efficient high quality picture-rate up-converter. ICIP (2) (2003)
Gustavo Marrero Callicó, Antonio Núñez, Rafael Peset Llopis, Ramanathan Sethuraman
Low-Cost and Real-Time Super-Resolution over a Video Encoder IP. ISQED (2003)
André Nieuwland, Jeffrey Kang, Om Prakash Gangwal, Ramanathan Sethuraman, Natalino G. Busá, Kees Goossens, Rafael Peset Llopis, Paul E. R. Lippens
C-HEAP: A Heterogeneous Multi-Processor Architecture Template and Scalable and Flexible Protocol for the Design of Embedded Signal Processing Systems. Des. Autom. Embed. Syst. 7 (3) (2002)
Rafael Peset Llopis, Marcel Oosterhuis, Ramanathan Sethuraman, Paul E. R. Lippens, Albert van der Werf, Steffen Maul, Jim Lin
HW-SW Co-Design and Verification of a Multi-Standard Video and Image Codec. ISQED (2001)