Rahul Paul

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Sequence Prediction

Lung Cancer Patients

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Debajyoty Banik, Rahul Paul, Rajkumar Singh Rathore, Rutvij H. Jhaveri
Improved Regression Analysis with Ensemble Pipeline Approach for Applications across Multiple Domains. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23 (3) (2024)
Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalla, Wathiq Mansoor
Current Topological and Machine Learning Applications for Bias Detection in Text. CoRR (2023)
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
A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification. J. Imaging 9 (1) (2023)
Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalls, Wathiq Mansoor
Current Topological and Machine Learning Applications for Bias Detection in Text. ICSPIS (2023)
Vathsala Patil, Janhavi Saxena, Ravindranath Vineetha, Rahul Paul, Dasharathraj K. Shetty, Sonali Sharma, Komal Smriti, Deepak Kumar Singhal, Nithesh Naik
Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks. J. Imaging 9 (2) (2023)
Rahul Paul
Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low-grade gliomas. Int. J. Imaging Syst. Technol. 32 (3) (2022)
Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE Access 9 (2021)
Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Deep radiomics: deep learning on radiomics texture images. Medical Imaging: Computer-Aided Diagnosis (2021)
Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Gregory M. Goldgof, Rahul Paul
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. CoRR (2021)
Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Mitigating Adversarial Attacks on Medical Image Understanding Systems. ISBI (2020)
Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset. CoRR (2020)
Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Comput. Biol. Medicine 122 (2020)
Valerie Cross, Michael Zmuda, Rahul Paul, Lawrence O. Hall
Fuzzy Set Similarity for Feature Selection in Classification. FUZZ-IEEE (2020)
Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). IJCNN (2019)
Rahul Paul, Stephan K. Chalup
Estimating Betti Numbers Using Deep Learning. IJCNN (2019)
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound. CoRR (2019)
Ghada Zamzmi, Rahul Paul, Md Sirajus Salekin, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
Convolutional Neural Networks for Neonatal Pain Assessment. IEEE Trans. Biom. Behav. Identity Sci. 1 (3) (2019)
Rahul Paul, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. Medical Imaging: Computer-Aided Diagnosis (2019)
Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies
Predicting Nodule Malignancy using a CNN Ensemble Approach. IJCNN (2018)
Rahul Paul, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies
Representation of Deep Features using Radiologist defined Semantic Features. IJCNN (2018)
Rahul Paul
Pouring Sequence Prediction using Recurrent Neural Network. CoRR (2018)
Rahul Paul
Classifying cooking object's state using a tuned VGG convolutional neural network. CoRR (2018)
Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo G. Moros, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
Stability of deep features across CT scanners and field of view using a physical phantom. Medical Imaging: Computer-Aided Diagnosis (2018)
Rahul Paul, Stephan K. Chalup
A study on validating non-linear dimensionality reduction using persistent homology. Pattern Recognit. Lett. 100 (2017)
Rahul Paul, Saeed Alahamri, Sulav Malla, Ghulam Jilani Quadri
Make Your Bone Great Again : A study on Osteoporosis Classification. CoRR (2017)
Rahul Paul, R. P. Jagadeesh Chandra Bose, Stephan K. Chalup, Gurulingesh Raravi
Improving Operational Performance in Service Delivery Organizations by Using a Metaheuristic Task Allocation Algorithm. BPM (Industry Track) (2017)
Rahul Paul, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies
Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. SMC (2016)
Sohini Bhattacharya, Shriyaa Mittal, Swati Panigrahi, Purshotam Sharma, Preethi S. P., Rahul Paul, Sukanya Halder, Antarip Halder, Dhananjay Bhattacharyya, Abhijit Mitra
RNABP COGEST: a resource for investigating functional RNAs. Database J. Biol. Databases Curation 2015 (2015)
Rahul Paul, Maurya Muniyappa, Pallavi Manohar
Job Routing in Multi-site Print Shop Environment. BDA (2014)
Lakshman Mahadevan, William J. Kettinger, Rahul Paul
A Three Level Model of SOA Maturity: Toward Achieving Sense and Respond. AMCIS (2009)