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ORCIDRishabh Sharma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j7]Rishabh Sharma
, Vinay Kukreja:
Image segmentation, classification and recognition methods for comics: A decade systematic literature review. Eng. Appl. Artif. Intell. 131: 107715 (2024)- [j6]Vinay Kukreja, Tejinder Pal Singh Brar, Satvik Vats, Ankit Bansal, Rishabh Sharma:
Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events. SN Comput. Sci. 5(7): 958 (2024) - 2023
- [j5]Rishabh Sharma, Stuart W. Perry, Eva Cheng:
Light Field View Synthesis Using the Focal Stack and All-in-Focus Image. Sensors 23(4): 2119 (2023) - [c16]Robert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos:
Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer. BIBE 2023: 50-56 - [c15]Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Shishir Shah, Ernst L. Leiss, Nikolaos V. Tsekos:
From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution. BIBE 2023: 57-61 - [c14]Ankit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats:
Sustainable PRS: A hybrid DL-based parcel recognition approach. ICCCNT 2023: 1-5 - [c13]Nikhil Dhawan, Vinay Kukreja, Rishabh Sharma, Satvik Vats, Aditya Verma:
Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. ICCCNT 2023: 1-5 - [c12]Shruti Garg, Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Manisha Aeri:
Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot. ICCCNT 2023: 1-5 - [c11]Varun Jindal, Anuj Kumar Jain, Vinay Kukreja, Raj Gaurang Tiwari, Satvik Vats, Rishabh Sharma:
Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. ICCCNT 2023: 1-5 - [c10]Vinay Kukreja, Rishabh Sharma, Dibyahash Bordoloi:
Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images. ICCCNT 2023: 1-5 - [c9]Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Aditya Verma:
Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block. ICCCNT 2023: 1-6 - [c8]Vinay Kukreja, Rishabh Sharma, Satvik Vats, Manika Manwal:
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. ICCCNT 2023: 1-6 - [c7]Manish Mahajan, Rishabh Sharma, Amandeep Singh, Vinay Kukreja, Satvik Vats:
Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. ICCCNT 2023: 1-6 - [c6]Rishabh Sharma, Vinay Kukreja, Satvik Vats:
Smart logistics multi-classification system using CNN and LSTM. ICCCNT 2023: 1-4 - [c5]Amandeep Singh, Sweety Sehgal, Manish Mahajan, Vinay Kukreja, Rishabh Sharma, Satvik Vats:
FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. ICCCNT 2023: 1-5 - 2022
- [j4]Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau:
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79: 102428 (2022) - [j3]Rishabh Sharma, Stuart W. Perry, Eva Cheng:
Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis. Sensors 22(5): 1993 (2022) - [c4]Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. AAAI 2022: 7255-7262 - [i3]Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. CoRR abs/2202.10943 (2022) - 2021
- [i2]Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau:
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR abs/2108.04016 (2021) - 2020
- [j2]Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray:
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - [c3]Rishabh Sharma, Christoph F. Eick, Nikolaos V. Tsekos:
Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net. BIBE 2020: 975-980 - [c2]Rishabh Sharma, Christoph F. Eick, Nikolaos V. Tsekos:
SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection. M&Ms and EMIDEC/STACOM@MICCAI 2020: 342-350
2010 – 2019
- 2019
- [i1]Arpit Jadon, Mohd. Omama, Akshay Varshney, Mohammad Samar Ansari, Rishabh Sharma:
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications. CoRR abs/1905.11922 (2019) - 2018
- [c1]Rishabh Sharma, Hubert Cecotti:
Classification of Graphical User Interfaces Through Gaze-Based Features. RTIP2R (1) 2018: 3-16 - 2012
- [j1]Om Prakash Verma, Madasu Hanmandlu, Rishabh Sharma:
Binarization based edge detection using universal law of gravity and ant colony optimization. Int. J. Hybrid Intell. Syst. 9(4): 229-239 (2012)
Coauthor Index
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