FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images by Wenxing Hu, Kejie Li, Jake Gagnon, Ye Wang, Talia Raney, Jeron Chen, Yirui Chen, Yoko Okunuki, Will Chen, Baohong Zhang

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Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture by Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman

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Enhancing furcation involvement classification on panoramic radiographs with vision transformers by Xuan Zhang, Enting Guo, Xu Liu, Hong Zhao, Jie Yang, Wen Li, Wenlei Wu, Weibin Sun

Subjects: “…Vision transformer…”
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Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification by Dian Kurniasari, Muhammad Dwi Pratama, Akmal Junaidi, Ahmad Faisol

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Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention by Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Codruta Ancuti

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Assessing bias and computational efficiency in vision transformers using early exits by Seth Nixon, Pietro Ruiu, Marinella Cadoni, Andrea Lagorio, Massimo Tistarelli

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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

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Deep learning-based classification of gallbladder lesions in patients with non-diagnostic (GB-RADS 0) ultrasound by Pankaj Gupta, Ruby Siddiqui, Thakur D. Yadav, Lileswar Kaman, Gaurav Prakash, Parikshaa Gupta, Uma N. Saikia, Usha Dutta

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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

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A deep learning method for differentiating safflower germplasm using optimal leaf structure features by Hoang Thien Van, Phuong Thuy Khuat, Trang Van, Thai Thanh Tuan, Yong Suk Chung

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IMViT: Adjacency Matrix-Based Lightweight Plain Vision Transformer by Qihao Chen, Yunfeng Yan, Xianbo Wang, Jishen Peng

Subjects: “…non-hierarchical vision transformer…”
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FathomDEM: an improved global terrain map using a hybrid vision transformer model by Peter Uhe, Chris Lucas, Laurence Hawker, Malcolm Brine, Hamish Wilkinson, Anthony Cooper, Alex A Saoulis, James Savage, Christopher Sampson

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SVDD: SAR Vehicle Dataset Construction and Detection by Dan Gao, Xiaofang Wu, Zhijin Wen, Yue Xu, Zhengchao Chen

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CSTrans: cross-subdomain transformer for unsupervised domain adaptation by Junchi Liu, Xiang Zhang, Zhigang Luo

Subjects: “…Vision transformer…”
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Design of an Integrated Model Combining CycleGAN, PPO, and Vision Transformer for Adaptive Scene Rendering in the Metaverse by Durga Prasad Kavadi, Kailash Chandra Mishra, Sai Babu Veesam, Mudimela Madhusudhan, Palacharla Ravi Kumar, Pannangi Naresh, Yuvaraju Chinnam

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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

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ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection by Huilin Liu, Runmin Cao, Songze Li, Yifan Wang, Xiaohan Zhang, Hua Xu, Xirong Sun, Lijuan Wang, Peng Qian, Zhumei Sun, Kai Gao, Fufeng Li

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ImagTIDS: an internet of things intrusion detection framework utilizing GADF imaging encoding and improved Transformer by Peng Wang, Yafei Song, Xiaodan Wang, Xiangke Guo, Qian Xiang

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PBVit: A Patch-Based Vision Transformer for Enhanced Brain Tumor Detection by Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma, Ahmad Raza Khan

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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

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