Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image
Classification

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

4 August 2022

Karthik Nandakumar

Papers citing "Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification"

16 / 16 papers shown

Title
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer Xinran Li Yu Liu Xiujuan Xu Xiaowei Zhao ViT MedIm 13 0 0 16 May 2025
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration Li Pan Yupei Zhang Qiushi Yang Tan Li Zhen Chen 54 0 0 05 Feb 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 105 18 0 17 Jan 2025
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles Xing Shen Hengguan Huang Brennan Nichyporuk Tal Arbel MedIm 43 4 0 24 Oct 2023
Certification of Deep Learning Models for Medical Image Segmentation Othmane Laousy Alexandre Araujo G. Chassagnon Nikos Paragios M. Revel Maria Vakalopoulou MedIm 20 2 0 05 Oct 2023
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection Naif Alkhunaizi K. Srivatsan Faris Almalik Ibrahim Almakky Karthik Nandakumar FedML 46 1 0 20 Aug 2023
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification Raza Imam Ibrahim Almakky Salma Alrashdi Baketah Alrashdi Mohammad Yaqub AAML 31 1 0 15 Aug 2023
Meta-Transformer: A Unified Framework for Multimodal Learning Yiyuan Zhang Kaixiong Gong Kaipeng Zhang Hongsheng Li Yu Qiao Wanli Ouyang Xiangyu Yue 30 137 0 20 Jul 2023
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling Faris Almalik Naif Alkhunaizi Ibrahim Almakky Karthik Nandakumar FedML MedIm 22 9 0 26 Jun 2023
On enhancing the robustness of Vision Transformers: Defensive Diffusion Raza Imam Muhammad Huzaifa Mohammed El-Amine Azz MedIm DiffM 41 5 0 14 May 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai H. Chen AAML MedIm 35 16 0 24 Mar 2023
Vision Transformers in Medical Imaging: A Review Emerald U. Henry Onyeka Emebob C. Omonhinmin ViT MedIm 27 34 0 18 Nov 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 42 56 0 13 Aug 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan Huazhu Fu ViT LM&MA MedIm 111 663 0 24 Jan 2022
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 265 621 0 21 May 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 273 3,110 0 04 Nov 2016