Ramanathan Sethuraman

33 papers Misc 3Journal 14Unranked 16

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