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 (ISQED, 2001)

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)

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 (CODES+ISSS, 2003)

Towards an efficient high quality picture-rate up-converter. - Aleksandar Beric; Gerard de Haan; Jef L. van Meerbergen; Ramanathan Sethuraman (ICIP (2), 2003)

Low-Cost and Real-Time Super-Resolution over a Video Encoder IP. - Gustavo M. Callicó; Antonio Núñez; Rafael Peset Llopis; Ramanathan Sethuraman (ISQED, 2003)

Streaming scratchpad memory organization for video applications. - Aleksandar Beric; Ramanathan Sethuraman; Harm Peters; Gerard Veldman; Jef L. van Meerbergen; Gerard de Haan (Circuits, Signals, and Systems, 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 (VLSI Design, 2004)

Segment-based motion estimation using a block-based engine. - Patrick Meuwissen; Ramanathan Sethuraman; Fabian Ernst; Harm Peters; Rafael Peset Llopis (EUSIPCO, 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 (ISCAS (3), 2005)

Memory-Centric Motion Estimator. - Aleksandar Beric; Ramanathan Sethuraman; Jef L. van Meerbergen; Gerard de Haan (VLSI Design, 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)

An Efficient Picture-Rate Up-Converter. - Aleksandar Beric; Gerard de Haan; Ramanathan Sethuraman; Jef L. van Meerbergen (J. VLSI Signal Process., 2005)

Low-Cost Super-Resolution Algorithms Implementation Over a HW/SW Video Compression Platform. - Gustavo M. Callicó; Rafael Peset Llopis; Sebastián López; José Francisco López; Antonio Núñez; Ramanathan Sethuraman; Roberto Sarmiento (EURASIP J. Adv. Signal Process., 2006)

Memory-Centric Video Processing. - Aleksandar Beric; Jef L. van Meerbergen; Gerard de Haan; Ramanathan Sethuraman (IEEE Trans. Circuits Syst. Video Technol., 2008)

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 (CVPR Workshops, 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 (ICVGIP, 2018)

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. - Arunava Chakravarty; Tandra Sarkar; Nirmalya Ghosh; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 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 (EMBC, 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 (EMBC, 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 (EMBC, 2020)

Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network. - Anand Mooga; Ramanathan Sethuraman; Debdoot Sheet (ISBI, 2020)

Federated Learning for Site Aware Chest Radiograph Screening. - Arunava Chakravarty; Avik Kar; Ramanathan Sethuraman; Debdoot Sheet (ISBI, 2021)

Distill DSM: Computationally efficient method for segmentation of medical imaging volumes. - Harsh Maheshwari; Vidit Goel; Ramanathan Sethuraman; Debdoot Sheet (MIDL, 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; et al. (PLoS Comput. Biol., 2021)

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM). - Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Ramanathan Sethuraman; Debdoot Sheet (IEEE DataPort, 2022)

Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. - Ravi Kakaiya; Rakshith Sathish; Debdoot Sheet; Ramanathan Sethuraman (ICME Workshops, 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)

Designing Deep Neural High-Density Compression Engines for Radiology Images. - Aditya Raj; Rakshith Sathish; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (Circuits Syst. Signal Process., 2023)