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Sourya Sengupta
Sourya Sengupta
University of Illinois Urbana Champaign
Verificeret mail på illinois.edu - Startside
Titel
Citeret af
Citeret af
År
Explainable deep learning models in medical image analysis
A Singh, S Sengupta, V Lakshminarayanan
Journal of Imaging, 2020
6732020
Ophthalmic diagnosis using deep learning with fundus images–A critical review
S Sengupta, A Singh, HA Leopold, T Gulati, V Lakshminarayanan
Artificial Intelligence in Medicine, Elsevier Journal 102, 101758, 2020
225*2020
Glaucoma diagnosis using transfer learning methods
A Singh, S Sengupta, V Lakshminarayanan
Applications of machine learning 11139, 223-232, 2019
322019
What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?
A Singh, S Sengupta, AR Mohammed, I Faruq, V Jayakumar, J Zelek, ...
MICCAI 2020: 7th Workshop OMIA, 21-31, 2020
232020
DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images
S Sengupta, A Wong, A Singh, J Zelek, V Lakshminarayanan
MICCAI 2020: 7th Workshop OMIA, 32-41, 2020
192020
White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS)
MJ Fanous, S He, S Sengupta, K Tangella, N Sobh, MA Anastasio, ...
Scientific reports 12 (1), 20043, 2022
152022
FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis
S Sengupta, A Athwale, T Gulati, J Zelek, V Lakshminarayanan
Medical Imaging 2020: Image Processing 11313, 665-671, 2020
152020
Recent advances in deep learning applications for retinal diagnosis using OCT
HA Leopold, A Singh, S Sengupta, JS Zelek, V Lakshminarayanan
State of the Art in Neural Networks, Elsevier, NY, 2020
142020
Cross-domain diabetic retinopathy detection using deep learning
S Sengupta, A Singh, J Zelek, V Lakshminarayanan
Applications of Machine Learning 11139, 233-239, 2019
142019
Emotion specification from musical stimuli: An EEG study with AFA and DFA
S Sengupta, S Biswas, S Nag, S Sanyal, A Banerjee, R Sengupta, ...
2017 4th International Conference on Signal Processing and Integrated …, 2017
142017
BIDEAL: a toolbox for bicluster analysis—generation, visualization and validation
NK Verma, T Sharma, S Dixit, P Agrawal, S Sengupta, V Singh
SN Computer Science 2, 1-15, 2021
112021
Can musical emotion be quantified with neural jitter or shimmer? A novel EEG based study with Hindustani classical music
S Nag, S Biswas, S Sengupta, S Sanyal, A Banerjee, R Sengupta, ...
2017 4th International Conference on Signal Processing and Integrated …, 2017
92017
Application of an enhanced deep super-resolution network in retinal image analysis
T Gulati, S Sengupta, V Lakshminarayanan
Ophthalmic technologies XXX 11218, 72-77, 2020
82020
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers
S Sengupta, MA Anastasio
IEEE transactions on medical imaging, 2024
6*2024
EdgeWaveNet: edge aware residual wavelet GAN for OCT image denoising
S Sengupta, A Singh, V Lakshminarayanan
Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021
62021
Quantification and categorization of emotion using cross cultural music: an EEG based fractal study
S Sengupta, S Biswas, S Sanyal, A Banerjee, R Sengupta, D Ghosh
2016 2nd International Conference on Next Generation Computing Technologies …, 2016
62016
Computer aided technique for Epilepsy classification using cross wavelet transform and RBF-kernel based support vector machine
S Sengupta, D Chanda, A Mitra, S Dutta
2016 2nd International Conference on Next Generation Computing Technologies …, 2016
62016
Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers
S Sengupta, CK Abbey, K Li, MA Anastasio
Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022
52022
Gestalt phenomenon in music? A neurocognitive physics study with EEG
S Sanyal, A Banerjee, S Roy, S Sengupta, S Biswas, S Nag, R Sengupta, ...
arXiv preprint arXiv:1703.06491, 2017
52017
Deep learning for ophthalmology using optical coherence tomography
HA Leopold, A Singh, S Sengupta, V Lakshminarayanan
State of the Art in Neural Networks and their Applications, 239-269, 2021
42021
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Artikler 1–20