Discrimination for Malignant and Benign Masses in Breast Using Mammogram: A Study on Adaptive Neuro-Fuzzy Approaches. - Mahua Bhattacharya; Arpita Das (IICAI, 2007)

Registration of Multimodality Medical Imaging of Brain using Particle Swarm Optimization. - Mahua Bhattacharya; Arpita Das (IHCI, 2009)

A Study on Prognosis of Brain Tumors Using Fuzzy Logic and Genetic Algorithm Based Techniques. - Arpita Das; Mahua Bhattacharya (IJCBS, 2009)

Evolutionary Algorithm based Automated Medical Image Fusion Technique: Comparative Study with Fuzzy Fusion Approach. - Mahua Bhattacharya; Arpita Das (NaBIC, 2009)

Automated Medical Image Fusion: A Comparative Study Between GA and PSO Based Approaches. - Mahua Bhattacharya; Arpita Das (BIOCOMP, 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)

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 microcalcifications and grading of masses using digital mammogram. - Mahua Bhattacharya; Arpita Das (Int. J. Medical Eng. Informatics, 2010)

Classification of poor contrast mammograms using a novel and fast boundary detection technique. - Arpita Das; Partha P. Goswami; Susanta Sen; Mahua Bhattacharya (BIBM Workshops, 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)

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)

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)

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)

Effective image fusion method to study Alzheimer's disease using MR, PET images. - Arpita Das; Mahua Bhattacharya (BIBM, 2015)

IIITH at BioASQ Challenge 2015 Task 3a: Extreme Classification of PubMed Articles using MeSH Labels. - Avinash Kamineni; Nausheen Fatma; Arpita Das; Manish Shrivastava 001; Manoj Kumar Chinnakotla (CLEF (Working Notes), 2015)

Together we stand: Siamese Networks for Similar Question Retrieval. - Arpita Das; Harish Yenala; Manoj Kumar Chinnakotla; Manish Shrivastava 001 (ACL (1), 2016)

Robust Pose Recognition Using Deep Learning. - Aparna Mohanty; Alfaz Ahmed; Trishita Goswami; Arpita Das; Pratik Vaishnavi; Rajiv Ranjan Sahay (CVIP (2), 2016)

Mirror on the Wall: Finding Similar Questions with Deep Structured Topic Modeling. - Arpita Das; Manish Shrivastava 001; Manoj Kumar Chinnakotla (PAKDD (2), 2016)

Mammographic image segmentation by marker controlled watershed algorithm. - Arnab Chattaraj; Arpita Das; Mahua Bhattacharya (BIBM, 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 (LEARNER@ICTIR, 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)

Computational Fluid Modeling to Understand the Role of Anatomy in Bifurcation Lesion Disease. - Madhurima Vardhan; Arpita Das; Jonn Gouruev; Amanda Randles (HiPC Workshops, 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)

An Ensemble Model for Sentiment Analysis of Hindi-English Code-Mixed Data. - Madan Gopal Jhanwar; Arpita Das (CoRR, 2018)

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)

Biomarker Gene Identification Using a Quantum Inspired Clustering Approach. - Srirupa Dasgupta; Arpita Das; Abhinandan Khan; Rajat Kumar Pal; Goutam Saha 002 (ACSS (2), 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)

Vague set theory based segmented image fusion technique for analysis of anatomical and functional images. - Suranjana Mukherjee; Arpita Das (Expert Syst. Appl., 2020)

An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions. - Xiaoqian Liu; Madhurima Vardhan; Qinrou Wen; Arpita Das; Amanda Randles; Eric C. Chi (EMBC, 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)

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)

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)

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)

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)

Independence number and the normalized Laplacian eigenvalue one. - Arpita Das; Pratima Panigrahi (Discret. Math. Algorithms Appl., 2023)

Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain tumors. - Poulomi Das; Arpita Das (Pattern Recognit., 2023)

Tactile Zero-Shot Sensing of Breast Tumors: Recognition of Human Data from Phantom Data. - Arpita Das; Dina Caroline; Chang-Hee Won (IEEE SENSORS, 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 (IGARSS, 2024)

Enhancing Firefighting Robot's Capability: A Comprehensive Implementation for Enhancing Firefighting Robot's Operations. - Ovishek Pal; Arpita Das; Saifuddin Mahmud; Awal Ahmed Fime (IHCI (1), 2024)

Machine Learning Algorithm for Handwritten Numerical Character Identification Using FPGA Based Custom IP Core. - Shraman Biswas; Soumya Pandit; Arpita Das (TENCON, 2024)

Similarity Based Characterization and Identification of Breast Ultrasound Lesions in Space-Frequency Subband. - Poulomi Das; Arpita Das (TENCON, 2024)

Design of A Custom IP Core for Concatenated SVM Model to Classify Multi-class Handwritten Numerical Characters. - Shraman Biswas; Soumya Pandit; Arpita Das (VDAT, 2024)

Design of FPGA based Custom IP Core to Detect the Edges of Brain Tumors. - Soumita Chatterjee; Soumya Pandit; Arpita Das (VDAT, 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)

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; Jong-Hoon Kim (IEEE Access, 2025)

Coupling of a lightweight model of reduced convolutional autoencoder with linear SVM classifier to detect brain tumours on FPGA. - Soumita Chatterjee; Soumya Pandit; Arpita Das (Expert Syst. Appl., 2025)

Associations of dietary patterns with serum 25(OH) vitamin D and serum anemia related biomarkers among expectant mothers: A machine learning based approach. - Arpita Das; Chyi-Huey Bai; Jung-Su Chang; Ya-Li Huang; Fan-Fen Wang; Chien-Yeh Hsu; Yi-Chun Chen; Jane C.-J. Chao (Int. J. Medical Informatics, 2025)