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33rd ICANN 2024: Lugano, Switzerland - Part VIII
- Michael Wand
, Kristína Malinovská
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15023, Springer 2024, ISBN 978-3-031-72352-0
Biosignal Processing in Medicine and Physiology
- Andrea Licciardi
A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Classification. 3-14 - Qian Wu, Yongjian Chen, Yuyu Sun, Jiahui Pan:
CapsDA-Net: A Convolutional Capsule Domain-Adversarial Neural Network for EEG-Based Attention Recognition. 15-28 - Xiaofan Zhou:
ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records Through ICD Path Generation. 29-43 - Xingda Yao, Lingkang Ying, Tianxiang He, Ligang Ren, Ruiji Xu, Keji Mao:
Depression Detection Based on Multilevel Semantic Features. 44-55 - Chengbo Yuan, Xuxu Liu, Qianhui Xu, Yongqian Li, Yong Luo, Xin Zhou:
Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion. 56-70 - Ruochen Wang, Jiacheng Pan, Shuting Xu:
Identify Disease-Associated MiRNA-miRNA Pairs Through Deep Tensor Factorization and Semi-supervised Learning. 71-86 - WenXiang Li, K. L. Eddie Law:
Interpretable EHR Disease Prediction System Based on Disease Experts and Patient Similarity Graph (DE-PSG). 87-102 - Anastasia-Daria Marc, Andreea Alina Ploscar, Adriana Mihaela Coroiu
Meteorological Data Based Detection of Stroke Using Machine Learning Techniques. 103-115 - Paulo Vitor de Campos Souza, Mauro Dragoni:
OFNN-UNI: Enhanced Optimized Fuzzy Neural Networks Based on Unineurons for Advanced Sepsis Classification. 116-131 - Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding:
ProTeM: Unifying Protein Function Prediction via Text Matching. 132-146 - Weiyan Yi, Xiuping Yang, Li Xiao, Weiping Tu, Xiong Chen, Yuhong Yang, Xinhong Li, Jie Lin:
SnoreOxiNet: Non-contact Diagnosis of Nocturnal Hypoxemia Using Cross-Domain Acoustic Features. 147-161 - Benoît Hohl, Héctor F. Satizábal, Andrés Pérez-Uribe:
Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods. 162-175
Medical Image Processing
- Fanyuyang Gao, Hongjin Fu, Xin Wu:
Adaptive Fusion Boundary-Enhanced Multilayer Perceptual Network (FBAIM-Net) for Enhanced Polyp Segmentation in Medical Imaging. 179-188 - Hongming Guo, Ziqing Huang, Qian Yuan, Hanbo Song, Zhiyan Liu, Xianzhao Feng, Anqi Liu, Min Liu, Ke Li, Ruixi Zhou:
Advancing Free-Breathing Cardiac Cine MRI: Retrospective Respiratory Motion Correction Via Kspace-and-Image Guided Diffusion Model. 189-202 - Jixuan Wang, Qian Huang, Yulin Chen, Linyi Qian:
Blood Cell Detection and Self-Attention-Based Mixed Attention Mechanism. 203-214 - Nabeel Khalid, Maria Caroprese, Gillian Lovell, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images. 215-229 - Antonio Barros da Silva Netto, Willian Farias Carvalho Oliveira, Cleber Zanchettin:
Classification of Dehiscence Defects in Titanium and Zirconium Dental Implants. 230-244 - Jiafa Mao, Zhan Liu, Jingke Gu, Chunping Wang, Sixian Chan:
CurSegNet: 3D Dental Model Segmentation Network Based on Curve Feature Aggregation. 245-259 - Hongjiang Wu, Yuping Zhong, Guoqiang Han, Jiatai Lin, Zaiyi Liu, Chu Han:
DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification. 260-273 - Zhuan Han, Dixiao Tao, Bohan Yang, Yong Luo, Baochuan Pang, Dehua Cao, Cheng Li, Xin Zhou:
EDPS-SST: Enhanced Dynamic Path Stitching with Structural Similarity Thresholding for Large-Scale Medical Image Stitching Under Sparse Pixel Overlap. 274-286 - Aimei Dong, Xuening Zhang, Guixin Zhao, Ruixin Wang, Jian Liu:
Hop-Gated Graph Attention Network for ASD Diagnosis via PC-Based Graph Regularization Sparse Representation. 287-298 - Jiawei Chen, Dingkang Yang, Yue Jiang, Yuxuan Lei, Lihua Zhang:
MISS: A Generative Pre-training and Fine-Tuning Approach for Med-VQA. 299-313 - Zhaoyan Dai, Jianxin Chen, Fengyi Lin, Yu Chen, Yawen Fan, Chong Jiang, Jingyan Xu:
MSD-HAM-Net: A Multi-modality Fusion Network of PET/CT Images for the Prognosis of DLBCL Patients. 314-327 - Qishen Chen, Minjie Bian, Wenxuan He, Huahu Xu:
Multi-modal Multi-scale State Space Model for Medical Visual Question Answering. 328-342 - Fabian Schmeisser
Point-Based Weakly Supervised 2.5D Cell Segmentation. 343-358 - Henry Musto, Daniel Stamate, Doina Logofatu, Daniel Stahl:
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. 359-372 - Giovanni Donghi, Luca Pasa, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicolò Navarin:
Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. 373-383 - Donghan Wu, Shuyuan Yang, Zhichang Wang, Shuqi Yang, Ping Liang, Boxun Zhang, Yi Li, Jiaqing Miao, Ying Tan:
SCANet: Dual Attention Network for Alzheimer's Disease Diagnosis Based on Gated Residual and Spatial Asymmetry Mechanisms. 384-398 - Dengpan Liu, Jiacheng Zhang, Bohan Yang, Yong Luo, Baochuan Pang, Dehua Cao, Cheng Li, Xin Zhou:
SCST: Spatial Consistent Swin Transformer for Multi-focus Biomedical Microscopic Image Fusion. 399-411 - Jiuyuan Zhu, Wei Chen, Chen Li, Tianci Xun, Chunjiao Tan, Weiwei Zheng, Yingqi Xu, Peng Qiao:
KnowMIM: a Self-supervised Pre-training Framework Based on Knowledge-Guided Masked Image Modeling for Retinal Vessel Segmentation. 412-426 - Julien Marteen Akay
Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. 427-444 - Xingren Wang, Sixing Yin, Yining Wang, Jiayue Li, Shufang Li:
Two-Stage Medical Image-Text Transfer with Supervised Contrastive Learning. 445-459
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