Walter Hugo Lopez Pinaya
King's College London(GB)
Publications by Year
Research Areas
Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Machine Learning in Healthcare, Generative Adversarial Networks and Image Synthesis, AI in cancer detection
Most-Cited Works
- → Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications(2017)641 cited
- → Brazilian montane rainforest expansion induced by Heinrich Stadial 1 event(2019)378 cited
- → Brain Imaging Generation with Latent Diffusion Models(2022)277 cited
- → Introduction to machine learning(2019)192 cited
- → Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia(2016)167 cited
- → Unsupervised brain imaging 3D anomaly detection and segmentation with transformers(2022)163 cited
- → Autoencoders(2019)162 cited
- → Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study(2018)136 cited
- → Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data(2021)113 cited
- → Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics(2019)107 cited