MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data

8 April 2021

Papers citing "MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data"

10 / 10 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
CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI Mominul Islam Mohammad Junayed Hasan M.R.C. Mahdy DiffM MedIm 56 1 0 04 Mar 2025
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction Linfeng Liu Junyan Lyu Siyu Liu Xiaoying Tang Shekhar S. Chandra F. Nasrallah MedIm 18 2 0 14 Jul 2023
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images Yuan Zhang Hu Wang David Butler Minh Nguyen Nhat To Jodie Avery M. L. Hull Gustavo Carneiro 27 5 0 05 Jul 2023
Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation Neel Kanwal T. Eftestøl Farbod Khoraminia T. Zuiverloon K. Engan MedIm 23 18 0 27 May 2023
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction Xinwen Liu Jing Wang S. Kevin Zhou Craig B. Engstrom Shekhar S. Chandra MedIm 29 3 0 24 Mar 2023
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data Linfeng Liu Siyu Liu Lu Zhang X. To F. Nasrallah Shekhar S. Chandra MedIm 34 52 0 01 Oct 2022
Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review Jiyang Jiang Dadong Wang Yang Song P. Sachdev W. Wen 39 7 0 04 Apr 2022
Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression Usma Niyaz Deepti R. Bathula 18 8 0 21 Oct 2021
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018