Search Results for author: Michal Golovanevsky

Found 2 papers, 2 papers with code

One-Versus-Others Attention: Scalable Multimodal Integration for Clinical Data

1 code implementation11 Jul 2023 Michal Golovanevsky, Eva Schiller, Akira Nair, Ritambhara Singh, Carsten Eickhoff

Multimodal learning models have become increasingly important as they surpass single-modality approaches on diverse tasks ranging from question-answering to autonomous driving.

Autonomous Driving Question Answering

Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis

1 code implementation17 Jun 2022 Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh

The objective of this study was to develop a novel multimodal deep learning framework to aid medical professionals in AD diagnosis.

Multi-class Classification Multimodal Deep Learning

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