Journal of Imaging | Top 10 Cited Papers in 2023
We are delighted to share the top 10 cited papers published in Journal of Imaging (J. Imaging, ISSN: 2313-433X) in 2023. Below is a list of 10 articles in which you may be interested.
1. “GANs for Medical Image Synthesis: An Empirical Study”
by Youssef Skandarani, Pierre-Marc Jodoin and Alain Lalande
J. Imaging 2023, 9(3), 69; https://doi.org/10.3390/jimaging9030069
Available online: https://www.mdpi.com/2313-433X/9/3/69
2. “Data Augmentation in Classification and Segmentation: A Survey and New Strategies”
by Khaled Alomar, Halil Ibrahim Aysel and Xiaohao Cai
J. Imaging 2023, 9(2), 46; https://doi.org/10.3390/jimaging9020046
Available online: https://www.mdpi.com/2313-433X/9/2/46
3. “Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review”
by Aghiles Kebaili, Jérôme Lapuyade-Lahorgue and Su Ruan
J. Imaging 2023, 9(4), 81; https://doi.org/10.3390/jimaging9040081
Available online: https://www.mdpi.com/2313-433X/9/4/81
4. “The Role of Artificial Intelligence in Echocardiography”
by Timothy Barry, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Jiwoong Jeong, Bhavik N. Patel, Imon Banerjee and Reza Arsanjani
J. Imaging 2023, 9(2), 50; https://doi.org/10.3390/jimaging9020050
Available online: https://www.mdpi.com/2313-433X/9/2/50
5. “Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks”
by Vathsala Patil, Janhavi Saxena, Ravindranath Vineetha, Rahul Paul, Dasharathraj K. Shetty, Sonali Sharma, Komal Smriti, Deepak Kumar Singhal and Nithesh Naik
J. Imaging 2023, 9(2), 33; https://doi.org/10.3390/jimaging9020033
Available online: https://www.mdpi.com/2313-433X/9/2/33
6. “Deepfakes Generation and Detection: A Short Survey”
by Zahid Akhtar
J. Imaging 2023, 9(1), 18; https://doi.org/10.3390/jimaging9010018
Available online: https://www.mdpi.com/2313-433X/9/1/18
7. “A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks”
by Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfgang G. Zoller, Alexander Hann and Frank Puppe
J. Imaging 2023, 9(2), 26; https://doi.org/10.3390/jimaging9020026
Available online: https://www.mdpi.com/2313-433X/9/2/26
8. “Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features”
by Yaman Albadawi, Aneesa AlRedhaei and Maen Takruri
J. Imaging 2023, 9(5), 91; https://doi.org/10.3390/jimaging9050091
Available online: https://www.mdpi.com/2313-433X/9/5/91
9. “BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model”
by Mohan Bhandari, Tej Bahadur Shahi, Arjun Neupane and Kerry Brian Walsh
J. Imaging 2023, 9(2), 53; https://doi.org/10.3390/jimaging9020053
Available online: https://www.mdpi.com/2313-433X/9/2/53
by Sourabhi Debnath, Manoranjan Paul and Tanmoy Debnath
J. Imaging 2023, 9(3), 57; https://doi.org/10.3390/jimaging9030057
Available online: https://www.mdpi.com/2313-433X/9/3/57