Rahul Paul

According to our database, Rahul Paul authored at least 32 papers between 2009 and 2025.

Collaborative distances:

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

2025

Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images.

Savitha G., Girisha S, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

IEEE Access, 2025

2024

Mouse embryo CoCoPUTs: novel murine transcriptomic-weighted usage website featuring multiple strains, tissues, and stages.

Sarah E. Fumagalli, Sean Smith, Tigran Ghazanchyan, Douglas Meyer, Rahul Paul, Collin Campbell, Luis V. Santana-Quintero, Anton Golikov, Juan Ibla, Haim Bar, Anton A. Komar, Ryan Hunt, Brian Lin, Michael DiCuccio, Chava Kimchi-Sarfaty

BMC Bioinform., December, 2024

Improved Regression Analysis with Ensemble Pipeline Approach for Applications across Multiple Domains.

Debajyoty Banik, Rahul Paul, Rajkumar Singh Rathore, Rutvij H. Jhaveri

ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2024

2023

A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification.

Arun Singh Yadav, Surendra Kumar, Girija Rani Karetla, Juan Carlos Cotrina-Aliaga, José Luis Arias-Gonzáles, Vinod Kumar, Satyajee Srivastava, Reena Gupta, Sufyan Ibrahim, Rahul Paul, Nithesh Naik, Babita Singla, Nisha S. Tatkar

J. Imaging, January, 2023

Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks.

Vathsala Patil, Janhavi Saxena, Ravindranath Vineetha, Rahul Paul, Dasharathraj K. Shetty, Sonali Sharma, Komal Smriti, Deepak Kumar Singhal, Nithesh Naik

J. Imaging, 2023

Current Topological and Machine Learning Applications for Bias Detection in Text.

Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar E. Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalls, Wathiq Mansoor

Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

2022

COVID-19 and Pneumonia Xrays.

Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall

Dataset, May, 2022

Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low-grade gliomas.

Rahul Paul

Int. J. Imaging Syst. Technol., 2022

2021

Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders.

Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Gregory M. Goldgof, Rahul Paul

CoRR, 2021

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification.

Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall

IEEE Access, 2021

Deep radiomics: deep learning on radiomics texture images.

Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset.

Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof

CoRR, 2020

Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future.

Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof

Comput. Biol. Medicine, 2020

Mitigating Adversarial Attacks on Medical Image Understanding Systems.

Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Fuzzy Set Similarity for Feature Selection in Classification.

Valerie Cross, Michael Zmuda, Rahul Paul, Lawrence O. Hall

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Convolutional Neural Networks for Neonatal Pain Assessment.

Ghada Zamzmi, Rahul Paul, Md Sirajus Salekin, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

IEEE Trans. Biom. Behav. Identity Sci., 2019

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound.

Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

CoRR, 2019

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images.

Rahul Paul, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN).

Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun

Proceedings of the International Joint Conference on Neural Networks, 2019

Estimating Betti Numbers Using Deep Learning.

Rahul Paul, Stephan K. Chalup

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Pouring Sequence Prediction using Recurrent Neural Network.

Rahul Paul

CoRR, 2018

Classifying cooking object's state using a tuned VGG convolutional neural network.

Rahul Paul

CoRR, 2018

Stability of deep features across CT scanners and field of view using a physical phantom.

Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo G. Moros, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Representation of Deep Features using Radiologist defined Semantic Features.

Rahul Paul, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Predicting Nodule Malignancy using a CNN Ensemble Approach.

Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

A study on validating non-linear dimensionality reduction using persistent homology.

Rahul Paul, Stephan K. Chalup

Pattern Recognit. Lett., 2017

Make Your Bone Great Again : A study on Osteoporosis Classification.

Rahul Paul, Saeed Alahamri, Sulav Malla, Ghulam Jilani Quadri

CoRR, 2017

Improving Operational Performance in Service Delivery Organizations by Using a Metaheuristic Task Allocation Algorithm.

Rahul Paul, R. P. Jagadeesh Chandra Bose, Stephan K. Chalup, Gurulingesh Raravi

Proceedings of the BPM 2017 Industry Track co-located with the 15th International Conference on Business Process Management (BPM 2017), 2017

2016

Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT.

Rahul Paul, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

RNABP COGEST: a resource for investigating functional RNAs.

Sohini Bhattacharya, Shriyaa Mittal, Swati Panigrahi, Purshotam Sharma, Preethi S. P., Rahul Paul, Sukanya Halder, Antarip Halder, Dhananjay Bhattacharyya, Abhijit Mitra

Database J. Biol. Databases Curation, 2015

2014

Job Routing in Multi-site Print Shop Environment.

Rahul Paul, Maurya Muniyappa, Pallavi Manohar

Proceedings of the Big Data Analytics - Third International Conference, 2014

2009

A Three Level Model of SOA Maturity: Toward Achieving Sense and Respond.

Lakshman Mahadevan, William J. Kettinger, Rahul Paul

Proceedings of the 15th Americas Conference on Information Systems, 2009