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# IEEE Transactions on Neural Networks and Learning Systems 2023: all accepted papers

988 papers · page 3 of 10 · the most cited first · [← IEEE Transactions on Neural Networks and Learning Systems 2023](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2023/)

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201. **[A Lightweight Pixel-Level Unified Image Fusion Network ↗](https://doi.org/10.1109/tnnls.2023.3311820)**Jinyang Liu, Shutao Li, Haibo Liu et al.*41 citations*
202. **[Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes ↗](https://doi.org/10.1109/tnnls.2023.3319468)**Dongyue Chen, Zongxia Xie, Ruonan Liu et al.*41 citations*
203. **[Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks ↗](https://doi.org/10.1109/tnnls.2022.3230417)**Lirong Wu, Haitao Lin, Bozhen Hu et al.*41 citations*
204. **[Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos ↗](https://doi.org/10.1109/tnnls.2023.3274611)**Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid et al.*41 citations*
205. **[Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily ↗](https://doi.org/10.1109/tnnls.2023.3267902)**Jie Chen, Shouzhen Chen, Junbin Gao et al.*41 citations*
206. **[Graph Evolution-Based Vertex Extraction for Hyperspectral Anomaly Detection ↗](https://doi.org/10.1109/tnnls.2023.3303273)**Xianchang Yang, Bing Tu, Qianming Li et al.*41 citations*
207. **[Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization ↗](https://doi.org/10.1109/tnnls.2023.3337176)**Ziming Wang, Yuhao Zhang, Shuang Shii Lian et al.*41 citations*
208. **[A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal ↗](https://doi.org/10.1109/tnnls.2023.3290078)**Jiawei Liu, Qiang Wang, Huijie Fan et al.*40 citations*
209. **[ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness ↗](https://doi.org/10.1109/tnnls.2023.3312655)**Jingcan Duan, Bin Xiao, Siwei Wang et al.*40 citations*
210. **[Dual Contrastive Learning Network for Graph Clustering ↗](https://doi.org/10.1109/tnnls.2023.3244397)**Xin Peng, Jieren Cheng, Xiangyan Tang et al.*40 citations*
211. **[Few-Shot Relation Extraction With Dual Graph Neural Network Interaction ↗](https://doi.org/10.1109/tnnls.2023.3278938)**Jing Li, Shanshan Feng, Billy Chiu*40 citations*
212. **[Human-in-the-Loop Reinforcement Learning in Continuous-Action Space ↗](https://doi.org/10.1109/tnnls.2023.3289315)**Biao Luo, Zhengke Wu, Fei Zhou et al.*40 citations*
213. **[IronForge: An Open, Secure, Fair, Decentralized Federated Learning ↗](https://doi.org/10.1109/tnnls.2023.3329249)**Guangsheng Yu, Xu Wang, Caijun Sun et al.*40 citations*
214. **[Learning Heterogeneous Spatial–Temporal Context for Skeleton-Based Action Recognition ↗](https://doi.org/10.1109/tnnls.2023.3252172)**Xuehao Gao, Yang Yang, Yang Wu et al.*40 citations*
215. **[PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers ↗](https://doi.org/10.1109/tnnls.2023.3301007)**Zhikai Li, Mengjuan Chen, Junrui Xiao et al.*40 citations*
216. **[Transfer Dynamic Latent Variable Modeling for Quality Prediction of Multimode Processes ↗](https://doi.org/10.1109/tnnls.2023.3265762)**Chao Yang, Qiang Liu, Yi Liu et al.*40 citations*
217. **[A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications ↗](https://doi.org/10.1109/tnnls.2023.3263263)**Weibing Li, Yongping Pan*39 citations*
218. **[AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing ↗](https://doi.org/10.1109/tnnls.2023.3271623)**Zhaoliang Chen, Zhihao Wu, Zhenghong Lin et al.*39 citations*
219. **[Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks ↗](https://doi.org/10.1109/tnnls.2023.3282049)**Chuang Liu, Xueqi Ma, Yibing Zhan et al.*39 citations*
220. **[Distributed Multiagent Reinforcement Learning With Action Networks for Dynamic Economic Dispatch ↗](https://doi.org/10.1109/tnnls.2023.3234049)**Chengfang Hu, Guanghui Wen, Shuai Wang et al.*39 citations*
221. **[Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning ↗](https://doi.org/10.1109/tnnls.2023.3277018)**Yawen Cui, Wanxia Deng, Haoyu Chen et al.*39 citations*
222. **[A Spatial–Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes ↗](https://doi.org/10.1109/tnnls.2023.3328399)**Mingjie Lv, Yonggang Li, Huiping Liang et al.*38 citations*
223. **[BViT: Broad Attention-Based Vision Transformer ↗](https://doi.org/10.1109/tnnls.2023.3264730)**Nannan Li, Yaran Chen, Weifan Li et al.*38 citations*
224. **[Efficient Discrete Clustering With Anchor Graph ↗](https://doi.org/10.1109/tnnls.2023.3279380)**Jingyu Wang, Zhenyu Ma, Feiping Nie et al.*38 citations*
225. **[Fully Complex-Valued Gated Recurrent Neural Network for Ultrasound Imaging ↗](https://doi.org/10.1109/tnnls.2023.3282231)**Zhenyu Lei, Shangce Gao, Hideyuki Hasegawa et al.*38 citations*
226. **[Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis ↗](https://doi.org/10.1109/tnnls.2023.3308712)**Eunji Jun, Seungwoo Jeong, Da-Woon Heo et al.*38 citations*
227. **[A Switching Memory-Based Event-Trigger Scheme for Synchronization of Lur’e Systems With Actuator Saturation: A Hybrid Lyapunov Method ↗](https://doi.org/10.1109/tnnls.2023.3273917)**Yanyan Ni, Zhen Wang, Yingjie Fan et al.*37 citations*
228. **[Convolutional Neural Network-Based Lane-Change Strategy via Motion Image Representation for Automated and Connected Vehicles ↗](https://doi.org/10.1109/tnnls.2023.3265662)**Shuo Cheng, Zheng Wang, Bo Yang et al.*37 citations*
229. **[Deep Learning and Symbolic Regression for Discovering Parametric Equations ↗](https://doi.org/10.1109/tnnls.2023.3297978)**Michael Zhang, Samuel Kim, Peter Y. Lu et al.*37 citations*
230. **[STGlow: A Flow-Based Generative Framework With Dual-Graphormer for Pedestrian Trajectory Prediction ↗](https://doi.org/10.1109/tnnls.2023.3294998)**Rongqin Liang, Yuanman Li, Jiantao Zhou et al.*37 citations*
231. **[Wavelet Pyramid Recurrent Structure-Preserving Attention Network for Single Image Super-Resolution ↗](https://doi.org/10.1109/tnnls.2023.3289958)**Wei‐Yen Hsu, Pei-Wen Jian*37 citations*
232. **[Community Graph Convolution Neural Network for Alzheimer’s Disease Classification and Pathogenetic Factors Identification ↗](https://doi.org/10.1109/tnnls.2023.3269446)**Xia-an Bi, Ke Chen, Siyu Jiang et al.*36 citations*
233. **[Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems ↗](https://doi.org/10.1109/tnnls.2023.3237586)**Qinglai Wei, Tao Li*36 citations*
234. **[DecouplingNet: A Stable Knowledge Distillation Decoupling Net for Fault Detection of Rotating Machines Under Varying Speeds ↗](https://doi.org/10.1109/tnnls.2023.3258748)**Zhen Shi, Jinglong Chen, Yanyang Zi et al.*36 citations*
235. **[Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes ↗](https://doi.org/10.1109/tnnls.2023.3262277)**Pengyu Song, Chunhui Zhao, Biao Huang et al.*36 citations*
236. **[FBANet: An Effective Data Mining Method for Food Olfactory EEG Recognition ↗](https://doi.org/10.1109/tnnls.2023.3269949)**Xiuxin Xia, Yan Hui Shi, Pengwei Li et al.*36 citations*
237. **[Feature Pyramid Fusion Network for Hyperspectral Pansharpening ↗](https://doi.org/10.1109/tnnls.2023.3325887)**Wenqian Dong, Yihan Yang, Jiahui Qu et al.*36 citations*
238. **[Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining ↗](https://doi.org/10.1109/tnnls.2023.3297607)**Wenxuan Tu, Sihang Zhou, Xinwang Liu et al.*36 citations*
239. **[Joint Projection Learning and Tensor Decomposition-Based Incomplete Multiview Clustering ↗](https://doi.org/10.1109/tnnls.2023.3306006)**Wei Lv, Chao Zhang, Huaxiong Li et al.*36 citations*
240. **[Neural Network-Based Adaptive Tracking Control for Denitrification and Aeration Processes With Time Delays ↗](https://doi.org/10.1109/tnnls.2023.3243299)**Junfei Qiao, Dapeng Li, Honggui Han*36 citations*
241. **[Overcoming the Barrier of Incompleteness: A Hyperspectral Image Classification Full Model ↗](https://doi.org/10.1109/tnnls.2023.3279377)**Jiaqi Yang, Bo Du, Liangpei Zhang*36 citations*
242. **[PeriodNet: Noise-Robust Fault Diagnosis Method Under Varying Speed Conditions ↗](https://doi.org/10.1109/tnnls.2023.3274290)**Ruixian Li, Jianguo Wu, Yongxiang Li et al.*36 citations*
243. **[Redundancy-Free Self-Supervised Relational Learning for Graph Clustering ↗](https://doi.org/10.1109/tnnls.2023.3314451)**Siyu Yi, Wei Ju, Yifang Qin et al.*36 citations*
244. **[A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions ↗](https://doi.org/10.1109/tnnls.2023.3234130)**Zhong Zheng, Zijun Zhang*35 citations*
245. **[Achieving Better Category Separability for Hyperspectral Image Classification: A Spatial–Spectral Approach ↗](https://doi.org/10.1109/tnnls.2023.3235711)**Jing Bai, Wei Shi, Zhu Qiang Xiao et al.*35 citations*
246. **[Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation ↗](https://doi.org/10.1109/tnnls.2023.3296652)**Huimin Wu, Xiaomeng Li, Kwang-Ting Tim Cheng*35 citations*
247. **[Flexible Vertical Federated Learning With Heterogeneous Parties ↗](https://doi.org/10.1109/tnnls.2023.3309701)**Timothy Castiglia, Shiqiang Wang, Stacy Patterson*35 citations*
248. **[Full Transformer Framework for Robust Point Cloud Registration With Deep Information Interaction ↗](https://doi.org/10.1109/tnnls.2023.3267333)**Guangyan Chen, Meiling Wang, Qingxiang Zhang et al.*35 citations*
249. **[Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction ↗](https://doi.org/10.1109/tnnls.2023.3277476)**Jiajun Fu, Fuxing Yang, Yonghao Dang et al.*35 citations*
250. **[Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection ↗](https://doi.org/10.1109/tnnls.2023.3239061)**Dehui Zhu, Bo Du, Liangpei Zhang*35 citations*
251. **[Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity ↗](https://doi.org/10.1109/tnnls.2023.3300514)**Anguo Zhang, Jieming Shi, Junyi Wu et al.*35 citations*
252. **[Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning ↗](https://doi.org/10.1109/tnnls.2023.3243666)**Dayu Tan, Zheng Huang, Xin Peng et al.*34 citations*
253. **[Energy-Performance Assessment of Oscillatory Neural Networks Based on VO 2 Devices for Future Edge AI Computing ↗](https://doi.org/10.1109/tnnls.2023.3238473)**Corentin Delacour, Stefania Carapezzi, Madeleine Abernot et al.*34 citations*
254. **[Event-Triggered Model-Free Adaptive Control for Nonlinear Multiagent Systems Under Jamming Attacks ↗](https://doi.org/10.1109/tnnls.2023.3279144)**Xijuan Wang, Changchun Hua, Yunfei Qiu*34 citations*
255. **[Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective ↗](https://doi.org/10.1109/tnnls.2022.3230084)**Xiaoyu Kong, Yingying Deng, Fan Tang et al.*34 citations*
256. **[FedGAMMA: Federated Learning With Global Sharpness-Aware Minimization ↗](https://doi.org/10.1109/tnnls.2023.3304453)**Rong Dai, Xun Yang, Yan Sun et al.*34 citations*
257. **[Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks ↗](https://doi.org/10.1109/tnnls.2023.3270135)**Isabell Lederer, Rudolf L. Mayer, Andreas Rauber*34 citations*
258. **[Medical-Knowledge-Based Graph Neural Network for Medication Combination Prediction ↗](https://doi.org/10.1109/tnnls.2023.3266490)**Chao Gao, Shu Yin, Haiqiang Wang et al.*34 citations*
259. **[RadarFormer: End-to-End Human Perception With Through-Wall Radar and Transformers ↗](https://doi.org/10.1109/tnnls.2023.3314031)**Zhijie Zheng, Diankun Zhang, Xiao Yan Liang et al.*34 citations*
260. **[Why Batch Normalization Damage Federated Learning on Non-IID Data? ↗](https://doi.org/10.1109/tnnls.2023.3323302)**Yanmeng Wang, Qingjiang Shi, Tsung‐Hui Chang*34 citations*
261. **[Central-Smoothing Hypergraph Neural Networks for Predicting Drug–Drug Interactions ↗](https://doi.org/10.1109/tnnls.2023.3261860)**Đức Anh Nguyễn, Canh Hao Nguyen, Hiroshi Mamitsuka*33 citations*
262. **[Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder ↗](https://doi.org/10.1109/tnnls.2023.3321691)**Bocun He, Xinmin Zhang, Zhihuan Song*33 citations*
263. **[Distributed Estimator-Based Event-Triggered Neuro-Adaptive Control for Leader–Follower Consensus of Strict-Feedback Nonlinear Multiagent Systems ↗](https://doi.org/10.1109/tnnls.2023.3243627)**Wei Wang, Yongming Li, Shaocheng Tong*33 citations*
264. **[Finite-Time Adaptive Dynamic Programming for Affine-Form Nonlinear Systems ↗](https://doi.org/10.1109/tnnls.2023.3337387)**Longjie Zhang, Yong Chen*33 citations*
265. **[Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction ↗](https://doi.org/10.1109/tnnls.2023.3310482)**Hong Pei, Xiaosheng Si, Tianmei Li et al.*33 citations*
266. **[Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation ↗](https://doi.org/10.1109/tnnls.2023.3250491)**Jun Lyu, Guangyuan Li, Chengyan Wang et al.*33 citations*
267. **[Neural Network-Based Fixed-Time Tracking and Containment Control of Second-Order Heterogeneous Nonlinear Multiagent Systems ↗](https://doi.org/10.1109/tnnls.2023.3262925)**Chongyang Chen, Yiyan Han, Song Zhu et al.*33 citations*
268. **[Observer-Based Fault-Tolerant Finite-Time Control of Nonlinear Multiagent Systems ↗](https://doi.org/10.1109/tnnls.2023.3279890)**Yasaman Salmanpour, Mohammad Mehdi Arefi, Alireza Khayatian et al.*33 citations*
269. **[Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions ↗](https://doi.org/10.1109/tnnls.2023.3329513)**Zhiwei Shang, Renxing Li, Chunhua Zheng et al.*33 citations*
270. **[STDAN: Deformable Attention Network for Space-Time Video Super-Resolution ↗](https://doi.org/10.1109/tnnls.2023.3243029)**Hai Wang, Xiaoyu Xiang, Yapeng Tian et al.*33 citations*
271. **[Stabilization and Synchronization of Neural Networks via Impulsive Adaptive Control ↗](https://doi.org/10.1109/tnnls.2023.3287997)**Xuegang Tan, Wangli He, Jinde Cao et al.*33 citations*
272. **[Zoom Text Detector ↗](https://doi.org/10.1109/tnnls.2023.3289327)**Chuang Yang, Mulin Chen, Yuan Yuan et al.*33 citations*
273. **[A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration ↗](https://doi.org/10.1109/tnnls.2023.3279381)**Li Shen, Congliang Chen, Fangyu Zou et al.*32 citations*
274. **[AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem ↗](https://doi.org/10.1109/tnnls.2023.3236629)**Hao Gao, Xing Zhou, Xin Xu et al.*32 citations*
275. **[Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation ↗](https://doi.org/10.1109/tnnls.2023.3321767)**Yang Liu, Xiaoqi Wang, Xi Wang et al.*32 citations*
276. **[Hyperspectral Anomaly Detection Based on Adaptive Low-Rank Transformed Tensor ↗](https://doi.org/10.1109/tnnls.2023.3236641)**Siyu Sun, Jun Liu, Ziwei Zhang et al.*32 citations*
277. **[Learning Feature Embedding Refiner for Solving Vehicle Routing Problems ↗](https://doi.org/10.1109/tnnls.2023.3285077)**Jingwen Li, Yining Ma, Zhiguang Cao et al.*32 citations*
278. **[Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application ↗](https://doi.org/10.1109/tnnls.2023.3263565)**Jingkun Yan, Long Jin, Xin Luo et al.*32 citations*
279. **[Multi-View and Multi-Order Structured Graph Learning ↗](https://doi.org/10.1109/tnnls.2023.3279133)**Rong Wang, Penglei Wang, Danyang Wu et al.*32 citations*
280. **[Neural Network-Based Nonconservative Predefined-Time Backstepping Control for Uncertain Strict-Feedback Nonlinear Systems ↗](https://doi.org/10.1109/tnnls.2023.3296194)**Jixing Lv, Xiaozhe Ju, Changhong Wang*32 citations*
281. **[On Expressivity and Trainability of Quadratic Networks ↗](https://doi.org/10.1109/tnnls.2023.3331380)**Fenglei Fan, Mengzhou Li, Fei Wang et al.*32 citations*
282. **[Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning ↗](https://doi.org/10.1109/tnnls.2023.3326397)**Lingzhi Zhang, Lei Xie, Yi Jiang et al.*32 citations*
283. **[Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix ↗](https://doi.org/10.1109/tnnls.2023.3292359)**Yajing Kong, Liu Liu, Huanhuan Chen et al.*32 citations*
284. **[Protocol-Based Synchronization of Stochastic Jumping Inertial Neural Networks Under Image Encryption Application ↗](https://doi.org/10.1109/tnnls.2023.3300270)**Wenhai Qi, Yongbo Yang, Ju H. Park et al.*32 citations*
285. **[Self-Adaptive Graph With Nonlocal Attention Network for Skeleton-Based Action Recognition ↗](https://doi.org/10.1109/tnnls.2023.3298950)**Chen Pang, Xingyu Gao, Zhenyu Chen et al.*32 citations*
286. **[Visual Commonsense-Aware Representation Network for Video Captioning ↗](https://doi.org/10.1109/tnnls.2023.3323491)**Pengpeng Zeng, Haonan Zhang, Lianli Gao et al.*32 citations*
287. **[A Spatial–Channel–Temporal-Fused Attention for Spiking Neural Networks ↗](https://doi.org/10.1109/tnnls.2023.3278265)**Wuque Cai, Hongze Sun, Rui Liu et al.*31 citations*
288. **[Distilling Privileged Knowledge for Anomalous Event Detection From Weakly Labeled Videos ↗](https://doi.org/10.1109/tnnls.2023.3263966)**Tianshan Liu, Kin‐Man Lam, Jun Kong*31 citations*
289. **[Generalized-Type Multistability of Almost Periodic Solutions for Memristive Cohen–Grossberg Neural Networks ↗](https://doi.org/10.1109/tnnls.2022.3233719)**Song Zhu, Yuanchu Shen, Chaoxu Mu et al.*31 citations*
290. **[Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning ↗](https://doi.org/10.1109/tnnls.2023.3238168)**Zhongtuo Shi, Wei Yao, Yong Tang et al.*31 citations*
291. **[Learning Oriented Object Detection via Naive Geometric Computing ↗](https://doi.org/10.1109/tnnls.2023.3242323)**Yanjie Wang, Zhijun Zhang, Wenhui Xu et al.*31 citations*
292. **[Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting ↗](https://doi.org/10.1109/tnnls.2023.3335355)**Zichen Zhang, Yongquan Dong, Wei‐Chiang Hong*31 citations*
293. **[Motif Graph Neural Network ↗](https://doi.org/10.1109/tnnls.2023.3281716)**Chen XueXin, Ruichu Cai, Yuan Fang et al.*31 citations*
294. **[Position-Aware Relational Transformer for Knowledge Graph Embedding ↗](https://doi.org/10.1109/tnnls.2023.3262937)**Guangyao Li, Zequn Sun, Wei Ping Hu et al.*31 citations*
295. **[Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution ↗](https://doi.org/10.1109/tnnls.2023.3325682)**Jiaojiao Li, Songcheng Du, Rui Song et al.*31 citations*
296. **[A Dynamic-Varying Parameter Enhanced ZNN Model for Solving Time-Varying Complex-Valued Tensor Inversion With Its Application to Image Encryption ↗](https://doi.org/10.1109/tnnls.2023.3270563)**Lin Xiao, Xiaopeng Li, Penglin Cao et al.*30 citations*
297. **[Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning ↗](https://doi.org/10.1109/tnnls.2023.3309326)**Huarong Zhao, Jinjun Shan, Li Peng et al.*30 citations*
298. **[Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images ↗](https://doi.org/10.1109/tnnls.2023.3266551)**Jiadong Zhang, Zhiming Cui, Caiwen Jiang et al.*30 citations*
299. **[Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty ↗](https://doi.org/10.1109/tnnls.2023.3343391)**Zhenghua Xu, Wenting Xu, Ruizhi Wang et al.*30 citations*
300. **[Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking ↗](https://doi.org/10.1109/tnnls.2023.3282905)**Wuwei Wang, Ke Zhang, Yu Su et al.*30 citations*

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