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ORCIDRamanathan Sethuraman
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2020 – today
- 2023
[j8]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): 643-682 (2023)- [j7]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) - [c19]Ravi Kakaiya, Rakshith Sathish, Debdoot Sheet, Ramanathan Sethuraman:
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. ICME Workshops 2023: 482-485 - [i6]Ravi Kakaiya, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. CoRR abs/2307.01524 (2023) - 2022
- [d1]Arunava Chakravarty, Tandra Sarkar, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM). IEEE DataPort, 2022
- 2021
- [j6]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) - [c18]Arunava Chakravarty, Avik Kar, Ramanathan Sethuraman, Debdoot Sheet:
Federated Learning for Site Aware Chest Radiograph Screening. ISBI 2021: 1077-1081 - [c17]Harsh Maheshwari, Vidit Goel, Ramanathan Sethuraman, Debdoot Sheet:
Distill DSM: Computationally efficient method for segmentation of medical imaging volumes. MIDL 2021: 473-483 - 2020
- [c16]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: 1128-1131 - [c15]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: 1225-1228 - [c14]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: 1234-1237 - [c13]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: 1331-1334 - [c12]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: 1780-1783 - [i5]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 abs/2004.11693 (2020) - [i4]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 abs/2004.11721 (2020) - [i3]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 abs/2004.11726 (2020) - [i2]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 abs/2006.09308 (2020)
2010 – 2019
- 2018
- [c11]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: 2591-2594 - [c10]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: 55:1-55:8 - [i1]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 abs/1805.06909 (2018)
2000 – 2009
- 2008
- [j5]Aleksandar Beric, Jef L. van Meerbergen, Gerard de Haan, Ramanathan Sethuraman:
Memory-Centric Video Processing. IEEE Trans. Circuits Syst. Video Technol. 18(4): 439-452 (2008) - 2006
- [j4]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) - 2005
- [j3]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): 508-527 (2005) - [j2]Aleksandar Beric, Gerard de Haan, Ramanathan Sethuraman, Jef L. van Meerbergen:
An Efficient Picture-Rate Up-Converter. J. VLSI Signal Process. 41(1): 49-63 (2005) - [c9]Patrick Meuwissen, Ramanathan Sethuraman, Fabian Ernst, Harm Peters, Rafael Peset Llopis:
Segment-based motion estimation using a block-based engine. EUSIPCO 2005: 1-4 - [c8]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: 2943-2946 - [c7]Aleksandar Beric, Ramanathan Sethuraman, Jef L. van Meerbergen, Gerard de Haan:
Memory-Centric Motion Estimator. VLSI Design 2005: 816-819 - 2004
- [c6]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: 427-432 - [c5]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: 1083- - 2003
- [c4]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: 97-102 - [c3]Aleksandar Beric, Gerard de Haan, Jef L. van Meerbergen, Ramanathan Sethuraman:
Towards an efficient high quality picture-rate up-converter. ICIP (2) 2003: 363-366 - [c2]Gustavo Marrero Callicó, Antonio Núñez, Rafael Peset Llopis, Ramanathan Sethuraman:
Low-Cost and Real-Time Super-Resolution over a Video Encoder IP. ISQED 2003: 79-84 - 2002
- [j1]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): 233-270 (2002) - 2001
- [c1]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: 393-398
Coauthor Index
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