| Deep learning on 1-D biosignals: a taxonomy-based survey N Ganapathy, R Swaminathan, TM Deserno Yearbook of medical informatics 27 (01), 098-109, 2018 | 95 | 2018 |
| Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features N Ganapathy, YR Veeranki, R Swaminathan Expert Systems with Applications 159, 113571, 2020 | 69 | 2020 |
| Continuous monitoring of vital signs using cameras: A systematic review V Selvaraju, N Spicher, J Wang, N Ganapathy, JM Warnecke, ... Sensors 22 (11), 4097, 2022 | 58 | 2022 |
| Emotion recognition using electrodermal activity signals and multiscale deep convolutional neural network N Ganapathy, YR Veeranki, H Kumar, R Swaminathan Journal of Medical Systems 45 (4), 49, 2021 | 40 | 2021 |
| Automatic detection of atrial fibrillation in ECG using co-occurrence patterns of dynamic symbol assignment and machine learning N Ganapathy, D Baumgärtel, TM Deserno Sensors 21 (10), 3542, 2021 | 19 | 2021 |
| Adaptive learning and cross training improves R-wave detection in ECG N Ganapathy, R Swaminathan, TM Deserno Computer Methods and Programs in Biomedicine 200, 105931, 2021 | 19 | 2021 |
| Electrodermal activity based emotion recognition using time-frequency methods and machine learning algorithms Y Rao Veeranki, N Ganapathy, R Swaminathan Current Directions in Biomedical Engineering 7 (2), 863-866, 2021 | 14 | 2021 |
| A systematic review of sensing and differentiating dichotomous emotional states using audio-visual stimuli YR Veeranki, H Kumar, N Ganapathy, B Natarajan, R Swaminathan IEEE Access 9, 124434-124451, 2021 | 13 | 2021 |
| Emotion recognition using electrodermal activity signals and multiscale deep convolution neural network. N Ganapathy, R Swaminathan Studies in health technology and informatics 258, 140-140, 2019 | 11 | 2019 |
| FAIR4Health: findable, accessible, interoperable and reusable data to foster health research C Alvarez-Romero, A Martínez-García, AA Sinaci, M Gencturk, E Méndez, ... Open Research Europe 2, 2022 | 10 | 2022 |
| Binary grey wolf optimizer based feature selection for nucleolar and centromere staining pattern classification in indirect immunofluorescence images K Devanathan, N Ganapathy, R Swaminathan 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 10 | 2019 |
| A comparative analysis of eda decomposition methods for improved emotion recognition PS Kumar, PK Govarthan, N GANAPATHY, JACFA RONICKOM Journal of Mechanics in Medicine and Biology 23 (06), 2340043, 2023 | 9 | 2023 |
| Electrodermal activity-based analysis of emotion recognition using temporal-morphological features and machine learning algorithms P Sriram Kumar, PK Govarthan, N Ganapathy, JFA Ronickom Journal of Mechanics in Medicine and Biology 23 (06), 2340044, 2023 | 9 | 2023 |
| Analysis of fluctuation patterns in emotional states using electrodermal activity signals and improved symbolic aggregate approximation YR Veeranki, N Ganapathy, R Swaminathan Fluctuation and Noise Letters 21 (02), 2250013, 2022 | 8 | 2022 |
| Printed and flexible ECG electrodes attached to the steering wheel for continuous health monitoring during driving JM Warnecke, N Ganapathy, E Koch, A Dietzel, M Flormann, R Henze, ... Sensors 22 (11), 4198, 2022 | 7 | 2022 |
| Extreme Gradient Boosting Based Improved Classification of Blood-Brain-Barrier Drugs. MS Ramakrishnan, N Ganapathy MIE, 872-873, 2022 | 6 | 2022 |
| Non-parametric classifiers based emotion classification using electrodermal activity and modified Hjorth features YR Veeranki, N Ganapathy, R Swaminathan Public Health and Informatics, 163-167, 2021 | 6 | 2021 |
| Classification of alzheimer condition using MR brain images and inception-residual network model S Shaji, N Ganapathy, R Swaminathan Current Directions in Biomedical Engineering 7 (2), 763-766, 2021 | 5 | 2021 |
| A comparison of open source libraries ready for 3D reconstruction of wounds S Kumar, D Jaglan, N Ganapathy, TM Deserno Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 5 | 2019 |
| Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals PK Govarthan, N Ganapathy, A Ronickom, J Fredo InHealthcare Transformation with Informatics and Artificial Intelligence, 40-43, 2023 | 4 | 2023 |
Thomas M. Deserno, geb. LehmannPLRI, TU Braunschweig在 tu-bs.de 的电子邮件经过验证
