Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification

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Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification

15 April 2025

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Papers citing "Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification"

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Title
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation Yang Chen Zhenyu Yang Jingtong Zhao J. Adamson Y. Sheng F. Yin Cong Wang 69 3 0 19 Mar 2023
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays Yan Han G. Holste Ying Ding Ahmed H. Tewfik Yifan Peng Zhangyang Wang LM&MA ViT 124 16 0 10 Jul 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat Fahad Shahbaz Khan Huazhu Fu ViT LM&MA MedIm 195 709 0 24 Jan 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 323 707 0 27 Oct 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 381 717 0 22 Apr 2021
TransMed: Transformers Advance Multi-modal Medical Image Classification Yin Dai Yifan Gao ViT MedIm 108 295 0 10 Mar 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li-xin Yuan Yunpeng Chen Tao Wang Weihao Yu Yujun Shi Zihang Jiang Francis E. H. Tay Jiashi Feng Shuicheng Yan ViT 192 1,953 0 28 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 385 2,560 0 04 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 750 41,796 0 22 Oct 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 177 808 0 02 May 2020
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 272 1,849 0 30 Nov 2017
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 74 4,626 0 10 Feb 2016