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Cong, Fengyu
24  Ergebnisse:
Buchkapitel (Online) X
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1

Multiple Instance Learning for Lymph Node Metastasis Predic..:

, In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),
Jin, Shan ; Xu, Hongming ; Dong, Yue... - p. 1-4 , 2023
Link: https://doi.org/10.1109/..
 
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2

Enhancing Performance of Linked Independent Component Analy..:

, In: 2023 International Conference on Computers, Information Processing and Advanced Education (CIPAE),
Xu, Huashuai ; Li, Huanjie ; Karkkainen, Tommi. - p. 726-732 , 2023
Link: https://doi.org/10.1109/..
 
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3

Predicting pathological complete response based on weakly a..:

, In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),
Hao, Xinyu ; Xu, Hongming ; Zhao, Nannan... - p. 1-4 , 2023
Link: https://doi.org/10.1109/..
 
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4

Driver Distraction Detection Based on EEG Feature Fusion Us..:

, In: Proceedings of the 2023 8th International Conference on Biomedical Imaging, Signal Processing,
Zuo, Xin ; Zhang, Chi ; Zhao, Jian.. - p. 104-109 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Construction of Multi-resolution Multi-organ Shape Model Ba..:

, In: 2022 14th International Conference on Advanced Computational Intelligence (ICACI),
Chen, Zhonghua ; Wang, Hongkai ; Cong, Fengyu. - p. 62-67 , 2022
Link: https://doi.org/10.1109/..
 
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6

Seizure Prediction Using EEG Channel Selection Method:

, In: 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP),
Wang, Xiaoshuang ; Karkkainen, Tommi ; Cong, Fengyu - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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7

Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-R..:

, In: 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE),
Chen, Zhonghua ; Wang, Hongkai ; Cong, Fengyu. - p. 349-353 , 2022
Link: https://doi.org/10.1109/..
 
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8

An EEG-based analysis on the hemisphere activation during l..:

, In: 2022 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR),
Sun, Lina ; Chen, Hongjun ; Zhang, Chi... - p. 51-55 , 2022
Link: https://doi.org/10.1109/..
 
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9

Convolutional Neural Network Based Sleep Stage Classificati..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Xu, Qi ; Zhou, Dongdong ; Wang, Jian... - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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10

A Deep Learning Model for Automatic Sleep Scoring using Mul..:

, In: 2020 28th European Signal Processing Conference (EUSIPCO),
Yan, Rui ; Li, Fan ; Zhou, DongDong.. - p. 1090-1094 , 2021
Link: https://doi.org/10.23919..
 
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11

Group Nonnegative Matrix Factorization with Sparse Regulari..:

, In: 2020 28th European Signal Processing Conference (EUSIPCO),
Wang, Xiulin ; Liu, Wenya ; Cong, Fengyu. - p. 2125-2129 , 2021
Link: https://doi.org/10.23919..
 
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12

One and Two Dimensional Convolutional Neural Networks for S..:

, In: 2020 28th European Signal Processing Conference (EUSIPCO),
Wang, Xiaoshuang ; Ristaniemi, Tapani ; Cong, Fengyu - p. 1387-1391 , 2021
Link: https://doi.org/10.23919..
 
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13

Automatic Sleep Scoring Toolbox and Its Application in Slee..:

, In: E-Business and Telecommunications; Communications in Computer and Information Science,
Yan, Rui ; Li, Fan ; Wang, Xiaoyu.. - p. 256-275 , 2020
Link: https://doi.org/10.1007/..
 
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14

Identifying Task-Based Dynamic Functional Connectivity Usin..:

, In: Communications in Computer and Information Science; Neural Information Processing,
Liu, Wenya ; Wang, Xiulin ; Ristaniemi, Tapani. - p. 361-369 , 2020
Link: https://doi.org/10.1007/..
 
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15

Multi-resolution Statistical Shape Models for Multi-organ S..:

, In: Advances in Neural Networks – ISNN 2020; Lecture Notes in Computer Science,
Chen, Zhonghua ; Ristaniemi, Tapani ; Cong, Fengyu. - p. 74-84 , 2020
Link: https://doi.org/10.1007/..
 
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