203 citations · 216 across the 8 of their papers we have counts for
12 papers
Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning
Zhuchen Shao, Sourya Sengupta, Hua Li +1
Automated semantic segmentation of cell nuclei in microscopic images is crucial for disease diagnosis and tissue microenvironment analysis. Nonetheless, this task presents challeng…
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers
Sourya Sengupta, Mark A. Anastasio
Interpretability is highly desired for deep neural network-based classifiers, especially when addressing high-stake decisions in medical imaging. Commonly used post-hoc interpretab…
De-speckling of Optical Coherence Tomography Images Using Anscombe Transform and a Noisier2noise Model
Arka Saha, Sourya Sengupta
Optical Coherence Tomography (OCT) image denoising is a fundamental problem as OCT images suffer from multiplicative speckle noise, resulting in poor visibility of retinal layers.…
Uncertainty aware and explainable diagnosis of retinal disease
Amitojdeep Singh, Sourya Sengupta, Mohammed Abdul Rasheed +2
Deep learning methods for ophthalmic diagnosis have shown considerable success in tasks like segmentation and classification. However, their widespread application is limited due t…
BIDEAL: A Toolbox for Bicluster Analysis -- Generation, Visualization and Validation
Nishchal K. Verma, T. Sharma, S. Dixit +3
This paper introduces a novel toolbox named BIDEAL for the generation of biclusters, their analysis, visualization, and validation. The objective is to facilitate researchers to us…
Explainable deep learning models in medical image analysis
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
Deep learning methods have been very effective for a variety of medical diagnostic tasks and has even beaten human experts on some of those. However, the black-box nature of the al…
Acoustical classification of different speech acts using nonlinear methods
Chirayata Bhattacharyya, Sourya Sengupta, Sayan Nag +4
A recitation is a way of combining the words together so that they have a sense of rhythm and thus an emotional content is imbibed within. In this study we envisaged to answer thes…
Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review
Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold +2
An overview of the applications of deep learning in ophthalmic diagnosis using retinal fundus images is presented. We also review various retinal image datasets that can be used fo…
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music
Sayan Nag, Sayan Biswas, Sourya Sengupta +4
The term jitter and shimmer has long been used in the domain of speech and acoustic signal analysis as a parameter for speaker identification and other prosodic features. In this s…
Emotion Specification from Musical Stimuli: An EEG Study with AFA and DFA
Sourya Sengupta, Sayan Biswas, Sayan Nag +4
The present study reports interesting findings in regard to emotional arousal based activities while listening to two Hindustani classical ragas of contrast emotion. EEG data was t…
Neural (EEG) Response during Creation and Appreciation: A Novel Study with Hindustani Raga Music
Archi Banerjee, Shankha Sanyal, Souparno Roy +5
What happens inside the performers brain when he is performing and composing a particular raga. Are there some specific regions in brain which are activated when an artist is creat…
Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG
Shankha Sanyal, Archi Banerjee, Souparno Roy +5
The term gestalt has been widely used in the field of psychology which defined the perception of human mind to group any object not in part but as a unified whole. Music in general…