Articles

1.) Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. --Andrea Bianconi, Luca Francesco Rossi, Marta Bonada, Pietro Zeppa, Elsa Nico, Raffaele De Marco, Paola Lacroce, Fabio Cofano, Francesco Bruno, Giovanni Morana, Antonio Melcarne, Roberta Ruda, Luca Mainardi, Pietro Fiaschi, Diego Garbossa and Lia Morra
2.) Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals. --Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier and Naoufel Werghi
3.) Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions. --Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh, Sunil Lal, Heather Kempton and Hans W. Guesgen
4.) Automatic identification of scientific publications describing digital reconstructions of neural morphology. --Patricia Maraver, Carolina Tecuatl and Giorgio A. Ascoli
5.) Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing. --Jie Pan, Zilong Zhang, Steven Ray Peters, Shabnam Vatanpour, Robin L. Walker, Seungwon Lee, Elliot A. Martin and Hude Quan
6.) Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour. --Siaw-Hong Liew, Yun-Huoy Choo, Yin Fen Low and Fadilla ‘Atyka Nor Rashid
7.) Brain–computer interface: trend, challenges, and threats. --Baraka Maiseli, Abdi T. Abdalla, Libe V. Massawe, Mercy Mbise, Khadija Mkocha, Nassor Ally Nassor, Moses Ismail, James Michael and Samwel Kimambo
8.) An evaluation of transfer learning models in EEG-based authentication. --Hui Yen Yap, Yun-Huoy Choo, Zeratul Izzah Mohd Yusoh and Wee How Khoh
9.) Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. --Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha and N. K. Jain
10.) A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease. --Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali and Mohammad Nami
11.) Assessing consciousness in patients with disorders of consciousness using soft-clustering. --Sophie Adama and Martin Bogdan
12.) Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability. --Alexander Hui Xiang Yang, Nikola Kirilov Kasabov and Yusuf Ozgur Cakmak
13.) Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. --Muhammad Arifur Rahman, David J. Brown, Mufti Mahmud, Matthew Harris, Nicholas Shopland, Nadja Heym, Alexander Sumich, Zakia Batool Turabee, Bradley Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar, Simona Nastase, Andrew Burton…

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