Is it Time to Replace CNNs with Transformers for Medical Images?

20 August 2021

Papers citing "Is it Time to Replace CNNs with Transformers for Medical Images?"

50 / 53 papers shown

Title
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging Minjae Chung Jong Bum Won Ganghyun Kim Yujin Kim Utku Ozbulak MedIm 62 0 0 12 Mar 2025
Random Token Fusion for Multi-View Medical Diagnosis Jingyu Guo Christos Matsoukas Fredrik Strand Kevin Smith MedIm 29 0 0 21 Oct 2024
Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges Clayton Frederick Souza Leite Henry Mauranen Aziza Zhanabatyrova Yu Xiao 32 1 0 17 Oct 2024
Ophthalmic Biomarker Detection with Parallel Prediction of Transformer and Convolutional Architecture Md. Touhidul Islam Md. Abtahi Majeed Chowdhury Mahmudul Hasan Asif Quadir Lutfa Aktar MedIm 19 1 0 26 Sep 2024
Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model A. Subedi Smriti Regmi Nisha Regmi Bhumi Bhusal Ulas Bagci Debesh Jha ViT MedIm 48 1 0 20 Aug 2024
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning Ari Tchetchenian L. Zekelman Yuqian Chen J. Rushmore Fan Zhang ... N. Makris Yogesh Rathi Erik H. W. Meijering Yang Song L. O’Donnell 54 0 0 21 Jul 2024
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis Mingyuan Liu Lu Xu Shengnan Liu Jicong Zhang 52 1 0 28 May 2024
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging Chaojie Zhang Shengjia Chen O. Cigdem H. Rajamohan K. Cho R. Kijowski Cem M. Deniz MedIm ViT 23 1 0 05 May 2024
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications Fouad Trad Ali Chehab MLLM 34 2 0 26 Mar 2024
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis Santosh Sanjeev Nuren Zhaksylyk Ibrahim Almakky Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub 42 3 0 20 Mar 2024
Multi-modal Deep Learning Chen Yuhua MedIm 38 35 0 06 Mar 2024
Large-scale Long-tailed Disease Diagnosis on Radiology Images Qiaoyu Zheng Weike Zhao Chaoyi Wu Xiaoman Zhang Lisong Dai Hengyu Guan Yuehua Li Ya Zhang Yanfeng Wang Weidi Xie LM&MA MedIm 40 5 0 26 Dec 2023
Are Natural Domain Foundation Models Useful for Medical Image Classification? Joana Palés Huix Adithya Raju Ganeshan Johan Fredin Haslum Magnus P Soderberg Christos Matsoukas Kevin Smith OOD MedIm VLM 24 30 0 30 Oct 2023
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images Huyen Tran D. Nguyen John Yearwood MedIm ViT 40 0 0 30 Sep 2023
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis Nikhil J. Dhinagar Amit Singh Saket Ozarkar Ketaki Buwa Sophia I Thomopoulos ... Corey McMillan Chih-Chien Tsai Jiun-Jie Wang Yih-Ru Wu Paul M. Thompson MedIm 27 2 0 09 Sep 2023
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision P. Singh Jacopo Cirrone OOD SSL 27 2 0 19 Aug 2023
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing Ariel N. Lee Sarah Adel Bargal Janavi Kasera Stan Sclaroff Kate Saenko Nataniel Ruiz 46 0 0 30 Jun 2023
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis Gongshu Wang Ning Jiang Yunxiao Ma Tiantian Liu Duanduan Chen Jinglong Wu Guoqi Li Dong Liang Tianyi Yan MedIm 28 2 0 08 Jun 2023
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification Smriti Regmi A. Subedi Ulas Bagci Debesh Jha ViT MedIm 13 11 0 23 Apr 2023
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models Numan Saeed Muhammad Ridzuan Hussain Alasmawi I. Sobirov Mohammad Yaqub 13 17 0 03 Apr 2023
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection Nikhil J. Dhinagar Sophia I Thomopoulos Emily Laltoo Paul M. Thompson DiffM MedIm 50 16 0 14 Mar 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 27 11 0 13 Mar 2023
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000 Sontje Ihler Felix Kuhnke Svenja Spindeldreier 30 1 0 13 Feb 2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images Gary Y. Li Junyu Chen Se-In Jang Kuang Gong Quanzheng Li ViT MedIm 46 14 0 08 Feb 2023
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning P. Singh Jacopo Cirrone SSL 48 0 0 27 Jan 2023
TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction Zeynel A. Samak Philip Clatworthy Majid Mirmehdi 37 6 0 25 Jan 2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification Iván de Andrés Tamé Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 31 2 0 25 Jan 2023
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images H. Barzekar Yash J. Patel L. Tong Zeyun Yu MedIm 32 6 0 21 Jan 2023
Metadata-guided Consistency Learning for High Content Images Johan Fredin Haslum Christos Matsoukas Karl‐Johan Leuchowius Erik Mullers Kevin Smith 30 8 0 22 Dec 2022
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation Ye Li Junyu Chen Se-In Jang Kuang Gong Quanzheng Li ViT MedIm 21 1 0 21 Dec 2022
Masked autoencoders are effective solution to transformer data-hungry Jia-ju Mao Honggu Zhou Xuesong Yin Binling Nie MedIm 35 6 0 12 Dec 2022
Vision Transformers in Medical Imaging: A Review Emerald U. Henry Onyeka Emebob C. Omonhinmin ViT MedIm 40 34 0 18 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 37 59 0 23 Oct 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading Yijin Huang Junyan Lyu Pujin Cheng Roger Tam Xiaoying Tang ViT MedIm 24 20 0 20 Oct 2022
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input Zilun Zhang Farzad Khalvati MedIm ViT 22 9 0 03 Oct 2022
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels J. Cross-Zamirski Guy B. Williams E. Mouchet Carola-Bibiane Schönlieb Riku Turkki Yinhai Wang 52 21 0 16 Sep 2022
Deep is a Luxury We Don't Have Ahmed Taha Yen Nhi Truong Vu Brent Mombourquette Thomas P. Matthews Jason Su Sadanand Singh ViT MedIm 26 2 0 11 Aug 2022
PatchDropout: Economizing Vision Transformers Using Patch Dropout Yue Liu Christos Matsoukas Fredrik Strand Hossein Azizpour Kevin Smith 13 21 0 10 Aug 2022
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification Vincent Tonkes M. Sabatelli ViT 33 6 0 09 Aug 2022
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms Xuxin Chen Keqin Zhang Neman Abdoli Patrik W. Gilley Ximing Wang Hong Liu Bin Zheng Y. Qiu ViT MedIm 19 51 0 21 Jun 2022
CASS: Cross Architectural Self-Supervision for Medical Image Analysis Pranav Singh E. Sizikova Jacopo Cirrone OOD 66 8 0 08 Jun 2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. K. Zhou ViT OOD MedIm 23 22 0 02 Jun 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 53 0 10 May 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 27 85 0 02 Mar 2022
Transformers in Medical Image Analysis: A Review Kelei He Chen Gan Zhuoyuan Li I. Rekik Zihao Yin Wen Ji Yang Gao Qian Wang Junfeng Zhang Dinggang Shen ViT MedIm 28 255 0 24 Feb 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 111 663 0 24 Jan 2022
Fast MRI Reconstruction: How Powerful Transformers Are? Jiahao Huang Yinzhe Wu Huanjun Wu Guang Yang OOD ViT MedIm 10 21 0 23 Jan 2022
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? I. Sobirov Otabek Nazarov Hussain Alasmawi Mohammad Yaqub ViT MedIm 33 11 0 17 Jan 2022
Swin Transformer for Fast MRI Jiahao Huang Yingying Fang Yinzhe Wu Huanjun Wu Zhifan Gao Yang Li Javier Del Ser Jun Xia Guang Yang ViT OOD 37 142 0 10 Jan 2022
RA V-Net: Deep learning network for automated liver segmentation ZhiQi Lee Sumin Qi Chongchong Fan Ziwei Xie 27 4 0 15 Dec 2021