Utkarsh Agrawal

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 24

Top Topics

Chest Radiographs

Surveillance Videos

Top Venues

Medical Imaging: Image Processing

Artif. Intell. Medicine

Publications

Utkarsh Agrawal, Rajesh Langoju, Yasuhiro Imai, Risa Shigemasa, Bipul Das
A deep learning method for pinwheel artifact reduction in CT. Medical Imaging: Image Processing (2023)
Jesline Daniel, Kanisha B, Meenakshi P, Mohana Priya K, Utkarsh Agrawal, Shanti Ramakrishnan
Improving Accuracy for Flight Fare Prediction using Random Forest Algorithm. ICCCNT (2023)
Utkarsh Agrawal, Vasudha Rohatgi, Rahul Katarya
Normalized Mutual Information-based equilibrium optimizer with chaotic maps for wrapper-filter feature selection. Expert Syst. Appl. 207 (2022)
Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. CoRR (2022)
Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, Laszlo Rusko, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 485 (2022)
Rohit Rastogi, Devendra K. Chaturvedi, Mukund K. Rastogi, Saransh Chauhan, Vaibhav Aggarwal, Utkarsh Agrawal, Richa Singh
Examining Vedic Yajna's Effects on the AQI of India in the Second Wave of the COVID-19 Pandemic: An Healthcare 4.0 Concept for Smart Cities 5.0. Int. J. Inf. Syst. Soc. Chang. 13 (1) (2022)
Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar
Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. ISBI (2022)
Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. UNSURE@MICCAI (2022)
Vanika Singhal, Rajesh Langoju, Sidharth Abrol, Utkarsh Agrawal, Bhushan D. Patil, Sandeep Dutta, Bipul Das
Noise characteristics in low to high kVp domain translation with Deep Regression Network. Medical Imaging: Image Processing (2021)
Utkarsh Agrawal, Aditya Hegde, Rajesh Langoju, Prasad Sudhakar, Bhushan D. Patil, Sundar R. K., Yasuhiro Imai, Risa Shigemasa, Omi Yasuo, Bipul Das
Enhancing Z-resolution in CT volumes with deep residual learning. Medical Imaging: Image Processing (2021)
Moolchand Sharma, Ananya Bansal, Utkarsh Agrawal, Pramod Goyal
Distracted driver recognition system using deep forest. Int. J. Electron. Bus. 16 (4) (2021)
Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) (2021)
Utkarsh Agrawal, Mohit Goyal, Varun Ramamohan
A Relaxation of the Stochastic Ruler Method for Discrete Simulation Optimization. CoRR (2020)
Utkarsh Agrawal, Jatin Arora, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia
Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron. ACM Trans. Multim. Comput. Commun. Appl. 16 (Special) (2020)
Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR (2020)
Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. ITSC (2020)
Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. Artif. Intell. Medicine 97 (2019)
D. Jonathan Sebastian, Utkarsh Agrawal, Ali Tamimi, Adam Hahn
DER-TEE: Secure Distributed Energy Resource Operations Through Trusted Execution Environments. IEEE Internet Things J. 6 (4) (2019)
Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Trans. Intell. Transp. Syst. 20 (9) (2019)
Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John
Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. ITSC (2019)
Utkarsh Agrawal, Christian Wagner, Jonathan M. Garibaldi, Daniele Soria
Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. FUZZ-IEEE (2019)
Praneeth Susarla, Utkarsh Agrawal, Dinesh Babu Jayagopi
Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNN. MedPRAI (2018)
Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi
Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. IPMU (1) (2018)
Utkarsh Agrawal, Daniele Soria, Christian Wagner
Cancer subtype identification pipeline: A classifusion approach. CEC (2016)
Namrata Srivastava, Utkarsh Agrawal, Soumava Kumar Roy, U. S. Tiwary
Human identification using Linear Multiclass SVM and Eye Movement biometrics. IC3 (2015)