David S. Sumam

According to our database, David S. Sumam authored at least 33 papers between 1991 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generalizable DNN model for brain tumor sub-structure segmentation from low-resolution 2D multimodal MR Images.

Divya Bhaskaracharya, Rajesh Parameshwaran Nair, Prakashini K., Girish Menon R., Paul Litvak, Pitchaiah Mandava, Deepu Vijayasenan, David S. Sumam

Biomed. Signal Process. Control., 2025

2023

Adversarial Learning Based Semi-supervised Semantic Segmentation of Low Resolution Gram Stained Microscopic Images.

Harshal Singh, Vidyashree R. Kanabur, David S. Sumam, Deepu Vijayasenan, Sreejith Govindan

Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

CNN Based Tropical Cyclone Intensity Estimation Using Satellite Images Around Indian Subcontinent.

Parag Jha, David S. Sumam, Deepu Vijayasenan

Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022

Design and implementation of a signal processing ASIC for digital hearing aids.

Deepu S. P., M. Ramesh Kini, David S. Sumam

Microprocess. Microsystems, September, 2022

Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset.

Chethan Reddy G. P., Pullagurla Abhijith Reddy, Vidyashree R. Kanabur, Deepu Vijayasenan, David S. Sumam, Sreejith Govindan

CoRR, 2022

Semantic segmentation of low magnification effusion cytology images: A semi-supervised approach.

Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Comput. Biol. Medicine, 2022

Semantic Segmentation on Low Resolution Cytology Images of Pleural and Peritoneal Effusion.

Shajahan Aboobacker, Akash Verma, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the 27th National Conference on Communications, 2022

Semi-supervised Semantic Segmentation of Effusion Cytology Images Using Adversarial Training.

Mayank Rajpurohit, Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the Computer Vision and Machine Intelligence, 2022

Semi-supervised Semantic Segmentation for Effusion Cytology Images.

Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the Computer Vision and Machine Intelligence, 2022

2020

Accurate estimation of decay coefficients for dynamic range compressors in hearing aids and a hardware level comparison of different architectures.

Deepu S. P., M. Ramesh Kini, David S. Sumam

Microprocess. Microsystems, 2020

Hardware Implementation of Dual-Tree Wavelet Transform Based Image Reconstruction.

Hitesh Sudhakar, Lamia M. Kalam, Sripathi Muralitharan, S. P. Deepu, David S. Sumam

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Deep Learning Model For The Automatic Detection Of Malignancy In Effusion Cytology.

Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the IEEE International Conference on Signal Processing, 2020

Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data.

S. Lakshmi, Kotra Venkata Sai Ritwik, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Real-Time Hardware Implementation of 3D Sound Synthesis.

Sathwik GS, Barun Kumar Acharya, Bilal Ali, Deepu S. P., David S. Sumam

Proceedings of the 2020 IEEE Asia Pacific Conference on Circuits and Systems, 2020

2019

An Integrated Deep Learning Approach towards Automatic Evaluation of Ki-67 Labeling Index.

S. Lakshmi, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh

Proceedings of the TENCON 2019, 2019

Copy-Move Forgery Detection using SIFT and GLCM-based Texture Analysis.

Mohita Chowdhury, Hansal Shah, Theekshna Kotian, N. Subbalakshmi, David S. Sumam

Proceedings of the TENCON 2019, 2019

2018

Combined radiogrammetry and texture analysis for early diagnosis of osteoporosis using Indian and Swiss data.

Anu Shaju Areeckal, Jagannath Kamath, Sophie Zawadynski, Michel Kocher, David S. Sumam

Comput. Medical Imaging Graph., 2018

Computerized radiogrammetry of third metacarpal using watershed and active appearance model.

Anu Shaju Areeckal, Mathew Sam, David S. Sumam

Proceedings of the IEEE International Conference on Industrial Technology, 2018

2017

Perceptually lossless coder for volumetric medical image data.

B. K. Chandrika, P. Aparna, David S. Sumam

J. Vis. Commun. Image Represent., 2017

Visually lossless coder for volumetric MRI and CT image data using wavelet transform.

B. K. Chandrika, P. Aparna, David S. Sumam

Int. J. Comput. Vis. Robotics, 2017

Early Diagnosis of Osteoporosis Using Active Appearance Model and Metacarpal Radiogrammetry.

Mathew Sam, Anu Shaju Areeckal, David S. Sumam

Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017

FPGA implementation of adaptive beamforming in hearing aids.

Kartik Samtani, Jobin Thomas, G. Abhinav Varma, David S. Sumam, Deepu S. P.

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Area and power optimised ASIC implementation of adaptive beamformer for hearing aids.

Kartik Samtani, Jobin Thomas, S. P. Deepu, David S. Sumam

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2016

Fully automated radiogrammetric measurement of third metacarpal bone from hand radiograph.

Anu Shaju Areeckal, David S. Sumam, Michel Kocher, Nikil Jayasheelan, Jagannath Kamath

Proceedings of the 2016 International Conference on Signal Processing and Communications (SPCOM), 2016

Estimation of attack time constant for dynamic range compressors in hearing aids.

S. P. Deepu, David S. Sumam, M. Ramesh Kini

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015

Adaptive Reconfigurable Architecture for Image Denoising.

Kartik V. Hegde, Vadiraj Kulkarni, R. Harshavardhan, David S. Sumam

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2013

Stereovision based 3D hand gesture recognition for pervasive computing applications.

Vikram Shenoy H, Pankaj Bongale, Vineet Roy, David S. Sumam

Proceedings of the 9th International Conference on Information, 2013

2011

3D Estimation and Visualization of Motion in a Multicamera Network for Sports.

Anil Kumar, P. Shashidhar Chavan, V. K. Sharatchandra, David S. Sumam, Philip Kelly, Noel E. O'Connor

Proceedings of the 2011 Irish Machine Vision and Image Processing Conference, 2011

2009

Distributed Video Coding Using LDPC Codes for Wireless Video.

P. Aparna, Sivaprakash Reddy, David S. Sumam

Wirel. Sens. Netw., 2009

2004

Quality and complexity comparison of H.264 intra mode with JPEG2000 and JPEG.

Aravind Al, Bindu P. Rao, Sudhir S. Kudva, Sreenu Babu, David S. Sumam, Ajit V. Rao

Proceedings of the 2004 International Conference on Image Processing, 2004

1998

A Pipelined Parallel Processor to Implement MD4 Message Digest Algorithm on Xilinx FPGA.

M. Bhaskar Sherigar, A. S. Mahadevan, K. Senthil Kumar, David S. Sumam

Proceedings of the 11th International Conference on VLSI Design (VLSI Design 1991), 1998

1991

Two-sided filters for frame-based prediction.

David S. Sumam, Bhaskar Ramamurthi

IEEE Trans. Signal Process., 1991

Multiband-excited linear predictive coder with a two-sided short-term predictor.

David S. Sumam, Bhaskar Ramamurthi

Signal Process., 1991