Arpita Das

According to our database, Arpita Das authored at least 41 papers between 2007 and 2024.

Collaborative distances:

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

2024

Multi-scale cross spectral coherence and phase spectral distribution based measurement in non-subsampled shearlet domain for classification of brain tumors.

Poulomi Das, Arpita Das

Expert Syst. Appl., 2024

Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects.

Awal Ahmed Fime, Saifuddin Mahmud, Arpita Das, Md. Sunzidul Islam, Hong-Hoon Kim

CoRR, 2024

Design of FPGA based Custom IP Core to Detect the Edges of Brain Tumors.

Soumita Chatterjee, Soumya Pandit, Arpita Das

Proceedings of the 28th International Symposium on VLSI Design and Test, 2024

Design of A Custom IP Core for Concatenated SVM Model to Classify Multi-class Handwritten Numerical Characters.

Shraman Biswas, Soumya Pandit, Arpita Das

Proceedings of the 28th International Symposium on VLSI Design and Test, 2024

Investigation of Glacial Lakes in Proximity to Failed South Lhonak Lake: A Glacio-Centric Approach to Disaster Risk Assessment.

Sandeep Kumar Mondal, Arpita Das, Rashid Hamid Baba, Vatsal Dharmeshkumar Patel, Rishikesh Bharti

Proceedings of the IGARSS 2024, 2024

2023

Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain tumors.

Poulomi Das, Arpita Das

Pattern Recognit., December, 2023

Independence number and the normalized Laplacian eigenvalue one.

Arpita Das, Pratima Panigrahi

Discret. Math. Algorithms Appl., November, 2023

Multimodal Medical Image Fusion Using Two- Stage Decomposition Technique to Combine the Significant Features of Spatial Fuzzy Plane and Transformed Frequency Plane.

Mayukhmala Jana, Arpita Das

IEEE Trans. Instrum. Meas., 2023

2022

Detection of Obstructive Sleep Apnea Using Non-Negative Matrix Factorization-Based Feature Extraction Approach in Eigen Spectrum Domain.

Nabanita Sinha, Arpita Das

IEEE Trans. Instrum. Meas., 2022

ECG beat classification based on discriminative multilevel feature analysis and deep learning approach.

Nabanita Sinha, Rajesh Kumar Tripathy, Arpita Das

Biomed. Signal Process. Control., 2022

2021

Identification and Localization of Myocardial Infarction Based on Analysis of ECG Signal in Cross Spectral Domain Using Boosted SVM Classifier.

Nabanita Sinha, Arpita Das

IEEE Trans. Instrum. Meas., 2021

Discrimination of Life-Threatening Arrhythmias Using Singular Value, Harmonic Phase Distribution, and Dynamic Time Warping of ECG Signals.

Nabanita Sinha, Arpita Das

IEEE Trans. Instrum. Meas., 2021

An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions.

Xiaoqian Liu, Madhurima Vardhan, Qinrou Wen, Arpita Das, Amanda Randles, Eric C. Chi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Vague set theory based segmented image fusion technique for analysis of anatomical and functional images.

Suranjana Mukherjee, Arpita Das

Expert Syst. Appl., 2020

Automatic diagnosis of cardiac arrhythmias based on three stage feature fusion and classification model using DWT.

Nabanita Sinha, Arpita Das

Biomed. Signal Process. Control., 2020

Biomarker Gene Identification Using a Quantum Inspired Clustering Approach.

Srirupa Dasgupta, Arpita Das, Abhinandan Khan, Rajat Kumar Pal, Goutam Saha

Proceedings of the Advanced Computing and Systems for Security, 2020

2019

A fast and automated segmentation method for detection of masses using folded kernel based fuzzy c-means clustering algorithm.

Poulomi Das, Arpita Das

Appl. Soft Comput., 2019

2018

An Ensemble Model for Sentiment Analysis of Hindi-English Code-Mixed Data.

Madan Gopal Jhanwar, Arpita Das

CoRR, 2018

Normalized Laplacian spectrum of some subdivision-joins and R-joins of two regular graphs.

Arpita Das, Pratima Panigrahi

AKCE Int. J. Graphs Comb., 2018

Computational Fluid Modeling to Understand the Role of Anatomy in Bifurcation Lesion Disease.

Madhurima Vardhan, Arpita Das, Jonn Gouruev, Amanda Randles

Proceedings of the 25th IEEE International Conference on High Performance Computing Workshops, 2018

2017

Study on neurodegeneration at different stages using MR images: computational approach to registration process with optimisation techniques.

Arpita Das, Mahua Bhattacharya

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017

Discovery and Promotion of Subtopic Level High Quality Domains for Programming Queries in Web Search.

Arpita Das, Saurabh Shrivastava, Manoj Kumar Chinnakotla, Prateek Agrawal, Sandeep Sahoo

Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), 2017

Mammographic image segmentation by marker controlled watershed algorithm.

Arnab Chattaraj, Arpita Das, Mahua Bhattacharya

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Mirror on the Wall: Finding Similar Questions with Deep Structured Topic Modeling.

Arpita Das, Manish Shrivastava, Manoj Kumar Chinnakotla

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Robust Pose Recognition Using Deep Learning.

Aparna Mohanty, Alfaz Ahmed, Trishita Goswami, Arpita Das, Pratik Vaishnavi, Rajiv Ranjan Sahay

Proceedings of International Conference on Computer Vision and Image Processing, 2016

Together we stand: Siamese Networks for Similar Question Retrieval.

Arpita Das, Harish Yenala, Manoj Kumar Chinnakotla, Manish Shrivastava

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

IIITH at BioASQ Challenge 2015 Task 3a: Extreme Classification of PubMed Articles using MeSH Labels.

Avinash Kamineni, Nausheen Fatma, Arpita Das, Manish Shrivastava, Manoj Kumar Chinnakotla

Proceedings of the Working Notes of CLEF 2015, 2015

Effective image fusion method to study Alzheimer's disease using MR, PET images.

Arpita Das, Mahua Bhattacharya

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Development of CAD system for analysis of vague set theory based contrast enhancement technique in mammograms.

Arpita Das, Mahua Bhattacharya

Int. J. Hybrid Intell. Syst., 2014

2012

GA-based multiresolution fusion of segmented brain images using PD-, T1- and T2-weighted MR modalities.

Mahua Bhattacharya, Arpita Das, M. Chandana

Neural Comput. Appl., 2012

2011

Affine-based registration of CT and MR modality images of human brain using multiresolution approaches: comparative study on genetic algorithm and particle swarm optimization.

Arpita Das, Mahua Bhattacharya

Neural Comput. Appl., 2011

A Study on Genetic Algorithm Based Hybrid Softcomputing Model for Benignancy/Malignancy Detection of Masses Using Digital Mammogram.

Mahua Bhattacharya, Naveen Sharma, Vaibhav Goyal, Sagar Bhatia, Arpita Das

Int. J. Comput. Intell. Appl., 2011

Classification of poor contrast mammograms using a novel and fast boundary detection technique.

Arpita Das, Partha P. Goswami, Susanta Sen, Mahua Bhattacharya

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010

Identification of microcalcifications and grading of masses using digital mammogram.

Mahua Bhattacharya, Arpita Das

Int. J. Medical Eng. Informatics, 2010

Genetic Algorithm Based Feature Selection In a Recognition Scheme Using Adaptive Neuro Fuzzy Techniques.

Mahua Bhattacharya, Arpita Das

Int. J. Comput. Commun. Control, 2010

Identification of tiny and large calcification in breast: a study on mammographic image analysis.

Mahua Bhattacharya, Arpita Das

Int. J. Bioinform. Res. Appl., 2010

Automated Medical Image Fusion: A Comparative Study Between GA and PSO Based Approaches.

Mahua Bhattacharya, Arpita Das

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009

Evolutionary Algorithm based Automated Medical Image Fusion Technique: Comparative Study with Fuzzy Fusion Approach.

Mahua Bhattacharya, Arpita Das

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

A Study on Prognosis of Brain Tumors Using Fuzzy Logic and Genetic Algorithm Based Techniques.

Arpita Das, Mahua Bhattacharya

Proceedings of the International Joint Conferences on Bioinformatics, 2009

Registration of Multimodality Medical Imaging of Brain using Particle Swarm Optimization.

Mahua Bhattacharya, Arpita Das

Proceedings of the First International Conference on Intelligent Human Computer Interaction, 2009

2007

Discrimination for Malignant and Benign Masses in Breast Using Mammogram: A Study on Adaptive Neuro-Fuzzy Approaches.

Mahua Bhattacharya, Arpita Das

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007