A Survey on Deep Learning in Medical Image Analysis

19 February 2017

Bram van Ginneken

Papers citing "A Survey on Deep Learning in Medical Image Analysis"

50 / 1,592 papers shown

Title
Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation Aman Swaraj Karan Verma 21 6 0 05 Dec 2021
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis Yu Feng Benteng Ma Jing Zhang Shanshan Zhao Yong-quan Xia Dacheng Tao AAML 49 84 0 02 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 47 42 0 01 Dec 2021
Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of MGMT Methylation Status in Glioblastoma M. Rao 22 1 0 30 Nov 2021
Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion S. Thomas 33 3 0 29 Nov 2021
Multi-domain Integrative Swin Transformer network for Sparse-View Tomographic Reconstruction Jiayi Pan Heye Zhang Weifei Wu Z. Gao Weiwen Wu 20 59 0 28 Nov 2021
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia 16 16 0 26 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 27 20 0 25 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification Fengbei Liu Yu Tian Yuanhong Chen Yuyuan Liu Vasileios Belagiannis G. Carneiro 43 76 0 25 Nov 2021
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification Long Gao Chang Liu Dooman Arefan A. Panigrahy M. Zuley Shandong Wu VLM 23 2 0 20 Nov 2021
Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images J. J. Sáenz-Gamboa J. Domenech Antonio Alonso-Manjarrés Jon A. Gómez Human Language Technology research center - Universitat Valencia 15 0 0 16 Nov 2021
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This Gábor Erdélyi Olivia J. Erdélyi V. Estivill-Castro FaML 17 3 0 15 Nov 2021
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels Álvaro García-Faura Dejan Štepec Tomaz Martincic D. Skočaj 19 8 0 08 Nov 2021
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation G. Scebba Jia Zhang Sabrina Catanzaro C. Mihai O. Distler M. Berli W. Karlen 19 58 0 02 Nov 2021
Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM M. I. Patel Shrey Singla Razeem Ahmad Ali Mattathodi Sumit Sharma Deepam Gautam Srinivasa Rao Kundeti MedIm 9 1 0 01 Nov 2021
3D-OOCS: Learning Prostate Segmentation with Inductive Bias Shrajan Bhandary Z. Babaiee D. Kostyszyn T. Fechter C. Zamboglou Anca-Ligia Grosu Radu Grosu 4 1 0 29 Oct 2021
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis Avan Suinesiaputra C. Mauger B. Ambale-Venkatesh D. Bluemke Josefine Dam Gade ... Line Sofie Hald Conrad Werkhoven C. Wu J. Lima Alistair Young 29 12 0 28 Oct 2021
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 197 654 0 27 Oct 2021
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation Yijin Huang Li Lin Pujin Cheng Junyan Lyu Roger Tam Xiaoying Tang 34 32 0 27 Oct 2021
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data T. Kalliokoski 27 0 0 24 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 30 18 0 22 Oct 2021
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 48 9 0 22 Oct 2021
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks Z. Ge Xin Wang 34 7 0 21 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data H. Cui Dong Wei Kai Ma Shi Gu Yefeng Zheng 27 39 0 18 Oct 2021
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor Classification Keyu Li Yangxin Xu Max Q.-H. Meng 25 11 0 09 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 32 8 0 09 Oct 2021
Bayesian Active Summarization Alexios Gidiotis Grigorios Tsoumakas BDL 21 7 0 09 Oct 2021
Combining Image Features and Patient Metadata to Enhance Transfer Learning S. Thomas 40 5 0 08 Oct 2021
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 55 43 0 06 Oct 2021
Blindness (Diabetic Retinopathy) Severity Scale Detection Ramya Bygari R. Naik U. P MedIm 16 3 0 04 Oct 2021
Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge M. Tran Tuong Khanh Long Do Huy Tran Erman Tjiputra Quang-Dieu Tran Anh Nguyen MedIm 32 25 0 04 Oct 2021
Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks Andreas Wachter Werner Nahm 19 0 0 30 Sep 2021
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning Lequan Yu Zhicheng Zhang Xiaomeng Li Hongyi Ren Wei Zhao Lei Xing MedIm 41 28 0 28 Sep 2021
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images Yibao Sun Edgar Giussepi Lopez Molina Yaqi Wang Xingru Huang Huiyu Zhou Qianni Zhang MedIm 16 1 0 26 Sep 2021
NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs Xiandong Huang Qinglin Wang Shuyu Lu Ruochen Hao Songzhu Mei Jie Liu 21 7 0 25 Sep 2021
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation Bingyuan Liu Christian Desrosiers Ismail Ben Ayed Jose Dolz 25 17 0 21 Sep 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification Adrian Galdran G. Carneiro M. A. G. Ballester 31 100 0 20 Sep 2021
Asymmetric 3D Context Fusion for Universal Lesion Detection Jiancheng Yang Yi He Kaiming Kuang Zudi Lin Hanspeter Pfister Bingbing Ni 3DPC MedIm 35 22 0 17 Sep 2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection N. Islam S. Gehlot Zongwei Zhou Michael B. Gotway Jianming Liang OOD 88 11 0 15 Sep 2021
Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network D. Anisuzzaman Yash J. Patel Behrouz Rostami J. Niezgoda Sandeep Gopalakrishnan Zeyun Yu 36 35 0 14 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 29 5 0 13 Sep 2021
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation Shishuai Hu Zehui Liao Jianpeng Zhang Yong-quan Xia OOD MedIm 25 56 0 13 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 18 13 0 12 Sep 2021
Image recognition via Vietoris-Rips complex Yasuhiko Asao Jumpei Nagase Ryotaro Sakamoto S. Takagi CoGe 27 0 0 06 Sep 2021
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? Antoine Pierre Sanner Camila González Anirban Mukhopadhyay OOD 21 16 0 03 Sep 2021
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution Chun-Mei Feng Yu-bao Yan Kai-An Yu Yong Xu Ling Shao Huazhu Fu SupR MedIm 32 34 0 03 Sep 2021
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging R. P. Mathews Mahesh Raveendranatha Panicker A. Hareendranathan Yale Tung Chen Jacob L. Jaremko Brian M. Buchanan K. Narayan C. Kesavadas G. Mathews 16 5 0 03 Sep 2021
Self-supervised Pseudo Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images Yu Tian Fengbei Liu Guansong Pang Yuanhong Chen Yuyuan Liu Johan Verjans Rajvinder Singh G. Carneiro 34 30 0 03 Sep 2021
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance Yuya Onishi F. Hashimoto K. Ote H. Ohba R. Ota E. Yoshikawa Yasuomi Ouchi MedIm 27 30 0 02 Sep 2021
Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model F. Hashimoto K. Ote 12 30 0 02 Sep 2021