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Arpita Das
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2020 – today
- 2024
- [j20]Poulomi Das, Arpita Das:
Multi-scale cross spectral coherence and phase spectral distribution based measurement in non-subsampled shearlet domain for classification of brain tumors. Expert Syst. Appl. 247: 123329 (2024) - [c19]Sandeep Kumar Mondal, Arpita Das, Rashid Hamid Baba, Vatsal Dharmeshkumar Patel, Rishikesh Bharti:
Investigation of Glacial Lakes in Proximity to Failed South Lhonak Lake: A Glacio-Centric Approach to Disaster Risk Assessment. IGARSS 2024: 1904-1907 - [c18]Shraman Biswas, Soumya Pandit, Arpita Das:
Design of A Custom IP Core for Concatenated SVM Model to Classify Multi-class Handwritten Numerical Characters. VDAT 2024: 1-6 - [c17]Soumita Chatterjee, Soumya Pandit, Arpita Das:
Design of FPGA based Custom IP Core to Detect the Edges of Brain Tumors. VDAT 2024: 1-6 - [i2]Awal Ahmed Fime, Saifuddin Mahmud, Arpita Das, Md. Sunzidul Islam, Hong-Hoon Kim:
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects. CoRR abs/2410.01816 (2024) - 2023
- [j19]Arpita Das, Pratima Panigrahi:
Independence number and the normalized Laplacian eigenvalue one. Discret. Math. Algorithms Appl. 15(8): 2250174:1-2250174:13 (2023) - [j18]Poulomi Das, Arpita Das:
Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain tumors. Pattern Recognit. 144: 109879 (2023) - [j17]Mayukhmala Jana, Arpita Das:
Multimodal Medical Image Fusion Using Two- Stage Decomposition Technique to Combine the Significant Features of Spatial Fuzzy Plane and Transformed Frequency Plane. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j16]Nabanita Sinha, Rajesh Kumar Tripathy, Arpita Das:
ECG beat classification based on discriminative multilevel feature analysis and deep learning approach. Biomed. Signal Process. Control. 78: 103943 (2022) - [j15]Nabanita Sinha, Arpita Das:
Detection of Obstructive Sleep Apnea Using Non-Negative Matrix Factorization-Based Feature Extraction Approach in Eigen Spectrum Domain. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - 2021
- [j14]Nabanita Sinha, Arpita Das:
Discrimination of Life-Threatening Arrhythmias Using Singular Value, Harmonic Phase Distribution, and Dynamic Time Warping of ECG Signals. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j13]Nabanita Sinha, Arpita Das:
Identification and Localization of Myocardial Infarction Based on Analysis of ECG Signal in Cross Spectral Domain Using Boosted SVM Classifier. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [c16]Xiaoqian Liu, Madhurima Vardhan, Qinrou Wen, Arpita Das, Amanda Randles, Eric C. Chi:
An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions. EMBC 2021: 4432-4435 - 2020
- [j12]Nabanita Sinha, Arpita Das:
Automatic diagnosis of cardiac arrhythmias based on three stage feature fusion and classification model using DWT. Biomed. Signal Process. Control. 62: 102066 (2020) - [j11]Suranjana Mukherjee, Arpita Das:
Vague set theory based segmented image fusion technique for analysis of anatomical and functional images. Expert Syst. Appl. 159: 113592 (2020) - [c15]Srirupa Dasgupta, Arpita Das, Abhinandan Khan, Rajat Kumar Pal, Goutam Saha:
Biomarker Gene Identification Using a Quantum Inspired Clustering Approach. ACSS (2) 2020: 43-56
2010 – 2019
- 2019
- [j10]Poulomi Das, Arpita Das:
A fast and automated segmentation method for detection of masses using folded kernel based fuzzy c-means clustering algorithm. Appl. Soft Comput. 85 (2019) - 2018
- [j9]Arpita Das, Pratima Panigrahi:
Normalized Laplacian spectrum of some subdivision-joins and R-joins of two regular graphs. AKCE Int. J. Graphs Comb. 15(3): 261-270 (2018) - [c14]Madhurima Vardhan, Arpita Das, Jonn Gouruev, Amanda Randles:
Computational Fluid Modeling to Understand the Role of Anatomy in Bifurcation Lesion Disease. HiPC Workshops 2018: 928-933 - [i1]Madan Gopal Jhanwar, Arpita Das:
An Ensemble Model for Sentiment Analysis of Hindi-English Code-Mixed Data. CoRR abs/1806.04450 (2018) - 2017
- [j8]Arpita Das, Mahua Bhattacharya:
Study on neurodegeneration at different stages using MR images: computational approach to registration process with optimisation techniques. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(3): 165-182 (2017) - [c13]Arnab Chattaraj, Arpita Das, Mahua Bhattacharya:
Mammographic image segmentation by marker controlled watershed algorithm. BIBM 2017: 1000-1003 - [c12]Arpita Das, Saurabh Shrivastava, Manoj Kumar Chinnakotla, Prateek Agrawal, Sandeep Sahoo:
Discovery and Promotion of Subtopic Level High Quality Domains for Programming Queries in Web Search. LEARNER@ICTIR 2017 - 2016
- [c11]Arpita Das, Harish Yenala, Manoj Kumar Chinnakotla, Manish Shrivastava:
Together we stand: Siamese Networks for Similar Question Retrieval. ACL (1) 2016 - [c10]Aparna Mohanty, Alfaz Ahmed, Trishita Goswami, Arpita Das, Pratik Vaishnavi, Rajiv Ranjan Sahay:
Robust Pose Recognition Using Deep Learning. CVIP (2) 2016: 93-105 - [c9]Arpita Das, Manish Shrivastava, Manoj Kumar Chinnakotla:
Mirror on the Wall: Finding Similar Questions with Deep Structured Topic Modeling. PAKDD (2) 2016: 454-465 - 2015
- [c8]Arpita Das, Mahua Bhattacharya:
Effective image fusion method to study Alzheimer's disease using MR, PET images. BIBM 2015: 1603-1607 - [c7]Avinash Kamineni, Nausheen Fatma, Arpita Das, Manish Shrivastava, Manoj Kumar Chinnakotla:
IIITH at BioASQ Challenge 2015 Task 3a: Extreme Classification of PubMed Articles using MeSH Labels. CLEF (Working Notes) 2015 - 2014
- [j7]Arpita Das, Mahua Bhattacharya:
Development of CAD system for analysis of vague set theory based contrast enhancement technique in mammograms. Int. J. Hybrid Intell. Syst. 11(4): 227-240 (2014) - 2012
- [j6]Mahua Bhattacharya, Arpita Das, M. Chandana:
GA-based multiresolution fusion of segmented brain images using PD-, T1- and T2-weighted MR modalities. Neural Comput. Appl. 21(6): 1433-1447 (2012) - 2011
- [j5]Mahua Bhattacharya, Naveen Sharma, Vaibhav Goyal, Sagar Bhatia, Arpita Das:
A Study on Genetic Algorithm Based Hybrid Softcomputing Model for Benignancy/Malignancy Detection of Masses Using Digital Mammogram. Int. J. Comput. Intell. Appl. 10(2): 141-165 (2011) - [j4]Arpita Das, Mahua Bhattacharya:
Affine-based registration of CT and MR modality images of human brain using multiresolution approaches: comparative study on genetic algorithm and particle swarm optimization. Neural Comput. Appl. 20(2): 223-237 (2011) - [c6]Arpita Das, Partha P. Goswami, Susanta Sen, Mahua Bhattacharya:
Classification of poor contrast mammograms using a novel and fast boundary detection technique. BIBM Workshops 2011: 669-676 - 2010
- [j3]Mahua Bhattacharya, Arpita Das:
Identification of tiny and large calcification in breast: a study on mammographic image analysis. Int. J. Bioinform. Res. Appl. 6(4): 418-434 (2010) - [j2]Mahua Bhattacharya, Arpita Das:
Genetic Algorithm Based Feature Selection In a Recognition Scheme Using Adaptive Neuro Fuzzy Techniques. Int. J. Comput. Commun. Control 5(4): 458-468 (2010) - [j1]Mahua Bhattacharya, Arpita Das:
Identification of microcalcifications and grading of masses using digital mammogram. Int. J. Medical Eng. Informatics 2(2): 122-138 (2010) - [c5]Mahua Bhattacharya, Arpita Das:
Automated Medical Image Fusion: A Comparative Study Between GA and PSO Based Approaches. BIOCOMP 2010: 398-403
2000 – 2009
- 2009
- [c4]Mahua Bhattacharya, Arpita Das:
Registration of Multimodality Medical Imaging of Brain using Particle Swarm Optimization. IHCI 2009: 131-139 - [c3]Arpita Das, Mahua Bhattacharya:
A Study on Prognosis of Brain Tumors Using Fuzzy Logic and Genetic Algorithm Based Techniques. IJCBS 2009: 348-351 - [c2]Mahua Bhattacharya, Arpita Das:
Evolutionary Algorithm based Automated Medical Image Fusion Technique: Comparative Study with Fuzzy Fusion Approach. NaBIC 2009: 269-274 - 2007
- [c1]Mahua Bhattacharya, Arpita Das:
Discrimination for Malignant and Benign Masses in Breast Using Mammogram: A Study on Adaptive Neuro-Fuzzy Approaches. IICAI 2007: 1007-1026
Coauthor Index
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last updated on 2024-11-21 20:30 CET by the dblp team
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