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ORCIDBrain Informatics, Volume 13
Volume 13, Number 1, December 2026
- Ibrahem Afifi, Mostafa Elgendy, Mohamed Abdelfatah, Shaker H. Ali El-Sappagh:
Vision and convolutional transformers for Alzheimer's disease diagnosis: a systematic review of architectures, multimodal fusion and critical gaps. 1 - Guangxiang Chen, Dekai Hu, Xin Huang, Zhijiang Wan:
Machine learning with multitype functional connectivity uncovers whole-brain network disruption in primary angle-closure glaucoma. 2 - Vincenzo Ronca, Marianna Cecchetti
, Rossella Capotorto, Gianluca Di Flumeri, Andrea Giorgi, Daniele Germano, Gianluca Borghini, Fabio Babiloni, Pietro Aricò:
Beyond the lab: real-world benchmarking of wearable EEGs for passive brain-computer interfaces. 3 - Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Wojciech Chrzanowski, Weidong Cai:
Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution. 4 - Vimbi Viswan, Noushath Shaffi, Malathy Emperuman, Chemmalar Selvi G., B. R. Kavitha, Abdelhamid Abdesselam, Shuqiang Wang, Ponnuthurai N. Suganthan, Ibrahim Al Shezawi, Mufti Mahmud:
Multimodal fusion and explainability of artificial intelligence models in Alzheimer's Disease detection. 5 - Giulia Cartocci, Alexandre Veyrie, Nicola Cavagnetto, Christophe Hurter, Augustin Degas, Ana Ferreira, Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Bianca Maria Serena Inguscio, Vincenzo Ronca, Gianluca Borghini, Gianluca Di Flumeri, Fabio Babiloni, Pietro Aricò:
Explainable artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions. 6 - Dayana Hayek, Axel Thielscher, Ulrike Grittner, Agnes Flöel, Daria Antonenko:
Reliability of electric field simulations in different age groups: impact of data quality metrics. 7 - Anton Kolonin:
Cognitive architecture and behavioral model based on social evidence and resource constraints. 8 - Dan Luo, Bin Yang, Lisha Nie, Peng Zeng, Bang Zeng, Binglan Li, Xiaojuan Dong, Tianyou Luo, Yongmei Li:
Perivascular fluid clearance links choroid plexus changes to cognitive performance in cerebral small vessel disease. 9 - Michele Mureddu, Rosella Trò, Federico Giovanni Garau, Nicolò Trebino, Andrea Bianconi, Andrea Rossi, Antonia Ramaglia, Antonio Verrico, Claudia Milanaccio, Giovanni Morana, Massimiliano Iacozzi, Francesco Fiz, Arnoldo Piccardo, Marco Massimo Fato:
U-Net-based transfer learning for automated tumour segmentation enabling fully automated [18F]F-DOPA PET analysis in paediatric gliomas. 10 - Lin Cai, Ying Zhang, Quanwei Ding, Xiaojun Wang, Pei Sun, Shaoqun Zeng, Tingwei Quan:
SegAnyNeuron: a neural image segmentation network with strong generalization performance by modeling image intensity variation. 11 - Jihen Souissi, Sourour Karmani, Kais Belwafi, Mahdi Jemmali, Ridha Djemal:
Filter bank CSP with Riemannian weighting for disability-centric motor imagery brain computer interface. 12 - Mateus A. Esmeraldo, Stefanie Chambers, Yanniklas Kravutske, Eduardo Pontes Reis, Gregor Kasprian, Ana Filipa Geraldo, Sergios Gatidis, Bruno P. Soares:
Pipeline evaluation of a state-of-the-art AI algorithm for detection of focal cortical dysplasia: insights into potential failure sources. 13 - Tsung-Ming Huang, Kai-Qian Zheng, Wen-Wei Lin, Tiexiang Li, Shing-Tung Yau:
A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation. 14 - Xinlei Wang, Zhongyang Wang, Keyan Cao:
Brain network classification considering directed propagation mechanisms of dynamic graphs. 15 - Omid Hajilou, Howard Bowman:
Breakthrough percepts of familiar faces. 16 - Aishik Tokdar, Lakshya Agarwal, Shataghnee Chatterjee, Sukriti:
A deep hybrid CNN-BiLSTM-BiGRU architecture with explainability for mild cognitive impairment detection using EEG. 17 - Tatiana Medvedeva, Irina Knyazeva, Ruslan Masharipov, Alexander Korotkov, Denis Cherednichenko, Maxim Kireev:
Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction. 18 - Yousuf Babiker M. Osman, Aden Hassan Margani Elsanosi, Changhong Jing, Yanyan Shen, Hongzhi Kuai, Shanshan Wang, Michael Kwok-Po Ng, Baiying Lei, Shuqiang Wang:
Diffusion models for brain imaging computing: a survey of frameworks and applications. 19 - Siyu Wang, Atsushi Miyata, Teruhisa Okuya, Hiroto Yanagawa, Ayaka Sakaki, Natsuhiro Ichinose, Takatsune Kumada:
Anatomical-connectivity-guided functional connectivity reveals task-relevant pathways during proactive task-switching via recurrent graph neural networks. 20 - Md Taimur Ahad, Bo Song, Yan Li:
BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection. 21 - Zhe Tao, Guanghao Huang, Leilei Ma, Zhuochao Chen, Yinhua Liu, Keum Shik Hong:
Emotion recognition using spectral-spatial attention multi-temporal scale network: EEG study. 22 - Xiaojia Wang, Shuohui Li, Mingxin Zhang, Chunfeng Yang:
A feasibility study on inferring connectivity changes in frontal lobes of MDD patients via spectral DCM. 23 - Jiacheng Zhang, Haolan Zhang, Youpeng Yang:
Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification. 24 - Hinata Nago, Hiroki Kojima, Hiroyuki Yamaguchi, Yuichi Yamashita:
Synergistic and redundant information dynamics exhibit dissociable alterations across schizophrenia and neurodevelopmental conditions. 25 - Taslima Khanam, Siuly Siuly, Kate N. Wang, Frank Whittaker, Hua Wang:
Evaluating multi-level membership inference risk in federated EEG learning. 26 - Mingwei Liao, Chi Xiao, Xiaojun Wang, Qingming Luo, Hui Gong, Anan Li:
A quantitative and precision‑oriented neuronal reconstruction approach based on data grading. 27 - Mohammad Nami, David Peebles, Fadi A. Thabtah, Firuz Kamalov:
RDoC-informed explainable AI as a paradigm for multilevel Alzheimer's disease diagnosis and progression prediction: a systematic review. 28 - Khosro Rezaee, Hossein Ghayoumi Zadeh, Ali Fayazi:
Parkinson's disease classification using optimized attention-based deep learning from EEG signals with interpretable sub-band topography. 29 - Heng-Zheng Wei, Yi-Yao Li, Hong-Yi Jia, Tian-Yu Zhao, Xiao Ren, Xin-Tong Qiu, Fu-Xing Zhang, Yun-Qing Li, Ming-Ming Zhang:
Single-cell reconstruction of whole-brain efferent projections from mouse ventral posteromedial thalamus. 30 - Radhika Juglan, Marta Ligero, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tim Lenz, Leo Misera, Gregory Patrick Veldhuizen, Paul Kuntke, Hagen H. Kitzler, Sven Nebelung, Daniel Truhn, Jakob Nikolas Kather:
Generalizable and explainable deep learning for brain MRI: a multi-cohort evaluation of 3D architectures for age and sex prediction. 31 - Yan Tang, Chao Yang, Yihang Xu, Hao Zhang, Hua Xie:
Cross-attention-guided subject-adaptive graph learning for multimodal autism classification: integrating structural and functional MRI data. 32 - Youxi Qu, Xicheng Lou, Hongying Meng, Zhangyong Li, Jianlin Wang, Kunpeng Mao, Xinwei Li:
EEG-DBNet: a dual-branch framework for temporal-spectral representation learning of motor imagery electroencephalography. 33 - Haoyu Liu, Xinyu Li, Haiyan Zhou, Jiajin Huang:
Hybrid self-supervised EEG emotion representation: masked reconstruction joint with mutual information bounds. 34
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