Recent Advances in Medical Image Classification

4 June 2025

Papers citing "Recent Advances in Medical Image Classification"

43 / 43 papers shown

Title
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Loan Dao Ngoc Quoc Ly 113 9 0 04 Jun 2025
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs Sheng Zhang Yanbo Xu Naoto Usuyama Hanwen Xu J. Bagga ... Carlo Bifulco M. Lungren Tristan Naumann Sheng Wang Hoifung Poon LM&MA MedIm 220 232 0 10 Jan 2025
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification Zhenwei Wang Qiule Sun Bingbing Zhang Pengfei Wang Jianxin Zhang Qiang Zhang VLM 76 1 0 13 Apr 2024
DeViDe: Faceted medical knowledge for improved medical vision-language pre-training Haozhe Luo Ziyu Zhou Corentin Royer Anjany Sekuboyina Bjoern Menze VLM ViT MedIm 89 7 0 04 Apr 2024
MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment Wenrui Fan M. N. I. Suvon Shuo Zhou Xianyuan Liu S. Alabed V. Osmani Andrew J Swift Chen Chen Haiping Lu MedIm VLM LM&MA 101 3 0 15 Mar 2024
Anatomical Structure-Guided Medical Vision-Language Pre-training Qingqiu Li Xiaohan Yan Jilan Xu Runtian Yuan Yuejie Zhang Rui Feng Quanli Shen Xiaobo Zhang Shujun Wang 89 6 0 14 Mar 2024
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training Rongsheng Wang Qingsong Yao Zihang Jiang Zhiyang He Xiaodong Tao Zihang Jiang S.Kevin Zhou MedIm VLM 84 6 0 20 Dec 2023
CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets Mominul Islam H. Zunair Nabeel Mohammed MedIm 54 11 0 25 Jul 2023
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization Che Liu Sibo Cheng Chong Chen Mengyun Qiao Weitong Zhang Anand Shah Wenjia Bai Rossella Arcucci VLM 97 58 0 17 Jul 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching D. M. Nguyen Hoang Nguyen Nghiem Tuong Diep Tan Ngoc Pham T. Cao ... Nhat Ho Shadi Albarqouni P. Xie Daniel Sonntag Mathias Niepert VLM MedIm 92 53 0 20 Jun 2023
Strategies to exploit XAI to improve classification systems Andrea Apicella Luca Di Lorenzo Francesco Isgrò A. Pollastro R. Prevete 16 9 0 09 Jun 2023
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification Bin Wang Hongyi Pan Armstrong Aboah Zheyu Zhang Elif Keles Drew Torigian Baris Turkbey Elizabeth A. Krupinski Jayaram K. Udupa Ulas Bagci 84 23 0 29 May 2023
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts Qiuhui Chen Xinyue Hu Zirui Wang Yi Hong LM&MA MedIm 47 40 0 18 May 2023
X-Pruner: eXplainable Pruning for Vision Transformers Lu Yu Wei Xiang ViT 51 50 0 08 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images Xiaoman Zhang Chaoyi Wu Ya Zhang Yanfeng Wang Weidi Xie MedIm 72 137 0 27 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 97 195 0 19 Feb 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing Shruthi Bannur Stephanie L. Hyland Qianchu Liu Fernando Pérez-García Maximilian Ilse ... Maria T. A. Wetscherek M. Lungren A. Nori Javier Alvarez-Valle Ozan Oktay 74 126 0 11 Jan 2023
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text Zifeng Wang Zhenbang Wu Dinesh Agarwal Jimeng Sun CLIP VLM MedIm 123 430 0 18 Oct 2022
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification Chak Fong Chong Yapeng Wang Benjamin Ng Wuman Luo Xu Yang MedIm 58 5 0 12 Oct 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Mingli Song Ming-hui Wu Mingli Song ViT 99 56 0 22 Aug 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification Faris Almalik Mohammad Yaqub Karthik Nandakumar ViT AAML MedIm 86 33 0 04 Aug 2022
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification S. Graham Q. Vu Mostafa Jahanifar Shan E Ahmed Raza F. Minhas David R. J. Snead Nasir M. Rajpoot MedIm 61 87 0 28 Feb 2022
Semi-supervised learning for medical image classification using imbalanced training data T. Huynh Aiden Nibali Zhen He 51 75 0 20 Aug 2021
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis Masoud Monajatipoor Mozhdeh Rouhsedaghat Liunian Harold Li Aichi Chien C.-C. Jay Kuo Fabien Scalzo Kai-Wei Chang LM&MA MedIm 56 30 0 10 Aug 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 109 987 0 10 Jun 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 131 558 0 18 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 98 3,492 0 08 Feb 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,793 0 23 Dec 2020
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 667 41,369 0 22 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text Yuhao Zhang Hang Jiang Yasuhide Miura Christopher D. Manning C. Langlotz MedIm 137 766 0 02 Oct 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 142 18,168 0 28 May 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 103 6,160 0 18 Jul 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,225 0 30 Oct 2017
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning Ryan Poplin A. Varadarajan Katy Blumer Yun-Hui Liu M. McConnell G. Corrado L. Peng D. Webster MedIm 59 1,338 0 31 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,070 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 647 29,154 0 09 Sep 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,326 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 480 43,685 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014