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brain2020
Development and validation of an interpretable deep learning framework for Alzheimer's disease classificationtmi2022
A graph-transformer for whole slide image classificationnmed2024
AI-based differential diagnosis of dementia etiologies on multimodal dataPodGPT
PodGPT: A multilingual audio-augmented large language model for research and educationazrt2020
Enhancing magnetic resonance imaging driven Alzheimerโs disease classification performance using generative adversarial learningpeds2019
Quantifying the nativeness of antibody sequences using long short-term memory networksadrd_tool
AI-based differential diagnosis of dementia etiologies on multimodal dataazrt2021
Detection of dementia on voice recordings using deep learning: a Framingham Heart Studypython_speech_features_cuda
This is a re-implementation of "Python Speech Features" that offers up to hundreds of times performance boost on CUDA enabled GPUs.tmi2024
Graph attention-based fusion of pathology images and gene expression for prediction of cancer survivaler2020
Assessment of knee pain from MR imaging using a convolutional Siamese networkhbm2024
Disease-driven domain generalization for neuroimaging-based assessment of Alzheimer's diseaseiscience2023-old
Deep learning for risk-based stratification of cognitively impaired individualsajpa2021
Deep learning driven quantification of interstitial fibrosis in kidney biopsiesunaah
U-Net-and-a-halfaccess2024
Adversarial learning for MRI reconstruction and classification of cognitively impaired individualsjad2023
Fusion of low-level descriptors of digital voice recordings for dementia assessmentncomms2022
Multimodal deep learning for Alzheimer's disease dementia assessmentiscience2023
Deep learning for risk-based stratification of cognitively impaired individualsar2021
Subchondral bone length in knee osteoarthritis: A deep learning driven imaging measure and its association with radiographic and clinical outcomesvkola-lab-docs
Knowledge base for the Kolachalama labjad2024
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