CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients

11 May 2022

Papers citing "CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients"

6 / 6 papers shown

Title
A systematic review of challenges and proposed solutions in modeling multimodal data Maryam Farhadizadeh Maria Weymann Michael Blaß Johann Kraus Christopher Gundler Sebastian Walter Noah Hempen Harald Binde Nadine Binder 26 0 0 11 May 2025
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives Zeynel A. Samak Philip Clatworthy Majid Mirmehdi 73 1 0 06 Dec 2024
Fusion of Diffusion Weighted MRI and Clinical Data for Predicting Functional Outcome after Acute Ischemic Stroke with Deep Contrastive Learning Chia-Ling Tsai Hui-Yun Su Shen-Feng Sung Wei-Yang Lin Ying-Ying Su Tzu-Hsien Yang Man-Lin Mai 11 2 0 16 Feb 2024
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data Nima Hatami L. Mechtouff D. Rousseau Tae-Hee Cho O. Eker Y. Berthezène Carole Frindel 8 3 0 16 Mar 2023
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes Ankur Samanta Mark Karlov Meghna Ravikumar Christian McIntosh Clarke Jayakumar Rajadas Kaveh Hassani 15 1 0 21 Feb 2023
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 287 39,194 0 01 Sep 2014