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Ramanathan Sethuraman
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2020 – today
- 2023
- [j8]Aditya Raj, Rakshith Sathish
, Tandra Sarkar, Ramanathan Sethuraman
Designing Deep Neural High-Density Compression Engines for Radiology Images. Circuits Syst. Signal Process. 42(2): 643-682 (2023) - [j7]Tarun Kumar
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
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
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
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. EMBC 2020: 1128-1131 - [c15]Arka Mitra
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
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. EMBC 2020: 1234-1237 - [c13]Rakshith Sathish
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
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
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
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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