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Rahul Paul
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2020 – today
- 2024
- [j10]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:
Mouse embryo CoCoPUTs: novel murine transcriptomic-weighted usage website featuring multiple strains, tissues, and stages. BMC Bioinform. 25(1): 294 (2024) - [j9]Debajyoty Banik
, Rahul Paul
Improved Regression Analysis with Ensemble Pipeline Approach for Applications across Multiple Domains. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(3): 42 (2024) - 2023
- [j8]Arun Singh Yadav
A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification. J. Imaging 9(1): 10 (2023) - [j7]Vathsala Patil, Janhavi Saxena, Ravindranath Vineetha
Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks. J. Imaging 9(2): 33 (2023) - [c14]Colleen Farrelly, Yashbir Singh
Current Topological and Machine Learning Applications for Bias Detection in Text. ICSPIS 2023: 190-195 - [i7]Colleen Farrelly, Yashbir Singh
Current Topological and Machine Learning Applications for Bias Detection in Text. CoRR abs/2311.13495 (2023) - 2022
- [j6]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): 753-766 (2022) - [d1]Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall:
COVID-19 and Pneumonia Xrays. IEEE DataPort, 2022 - 2021
- [j5]Kaoutar Ben Ahmed
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE Access 9: 72970-72979 (2021) - [c13]Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies
Deep radiomics: deep learning on radiomics texture images. Computer-Aided Diagnosis 2021 - [e1]Mauricio Reyes
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8 [contents] - [i6]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 abs/2102.04300 (2021) - 2020
- [j4]Rahul Paul
Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Comput. Biol. Medicine 122: 103882 (2020) - [c12]Valerie Cross, Michael Zmuda, Rahul Paul
Fuzzy Set Similarity for Feature Selection in Classification. FUZZ-IEEE 2020: 1-8 - [c11]Rahul Paul
Mitigating Adversarial Attacks on Medical Image Understanding Systems. ISBI 2020: 1517-1521 - [i5]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 abs/2004.02060 (2020)
2010 – 2019
- 2019
- [j3]Ghada Zamzmi
Convolutional Neural Networks for Neonatal Pain Assessment. IEEE Trans. Biom. Behav. Identity Sci. 1(3): 192-200 (2019) - [c10]Rahul Paul, Stephan K. Chalup
Estimating Betti Numbers Using Deep Learning. IJCNN 2019: 1-7 - [c9]Ghada Zamzmi, Rahul Paul
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). IJCNN 2019: 1-7 - [c8]Rahul Paul
Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. Computer-Aided Diagnosis 2019: 109503Z - [i4]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 abs/1909.02543 (2019) - 2018
- [c7]Rahul Paul
Predicting Nodule Malignancy using a CNN Ensemble Approach. IJCNN 2018: 1-8 - [c6]Rahul Paul
Representation of Deep Features using Radiologist defined Semantic Features. IJCNN 2018: 1-7 - [c5]Rahul Paul
Stability of deep features across CT scanners and field of view using a physical phantom. Computer-Aided Diagnosis 2018: 105753P - [i3]Rahul Paul:
Classifying cooking object's state using a tuned VGG convolutional neural network. CoRR abs/1805.09391 (2018) - [i2]Rahul Paul:
Pouring Sequence Prediction using Recurrent Neural Network. CoRR abs/1805.09393 (2018) - 2017
- [j2]Rahul Paul, Stephan K. Chalup
A study on validating non-linear dimensionality reduction using persistent homology. Pattern Recognit. Lett. 100: 160-166 (2017) - [c4]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: 25-37 - [i1]Rahul Paul, Saeed Alahamri, Sulav Malla, Ghulam Jilani Quadri
Make Your Bone Great Again : A study on Osteoporosis Classification. CoRR abs/1707.05385 (2017) - 2016
- [c3]Rahul Paul
Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. SMC 2016: 2570-2575 - 2015
- [j1]Sohini Bhattacharya, Shriyaa Mittal
RNABP COGEST: a resource for investigating functional RNAs. Database J. Biol. Databases Curation 2015 (2015) - 2014
- [c2]Rahul Paul, Maurya Muniyappa, Pallavi Manohar:
Job Routing in Multi-site Print Shop Environment. BDA 2014: 161-164
2000 – 2009
- 2009
- [c1]Lakshman Mahadevan, William J. Kettinger, Rahul Paul:
A Three Level Model of SOA Maturity: Toward Achieving Sense and Respond. AMCIS 2009: 337
Coauthor Index
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