v1v2 (latest)

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 / 1,597 papers shown

Title
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data Maryamalsadat Mahootiha H. Qadir Jacob Bergsland I. Balasingham 60 9 0 07 Jul 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Nicolás Gaggion Candelaria Mosquera Lucas Mansilla Julia Mariel Saidman M. Aineseder Diego H. Milone Enzo Ferrante 64 21 0 06 Jul 2023
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia A. Shephard R. M. S. Bashir H. Mahmood Mostafa Jahanifar F. Minhas ... Jill M Brooks P. Nankivell H. Mehanna S. Khurram Nasir M. Rajpoot 70 3 0 06 Jul 2023
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach Duong Q. Nguyen Thinh D. Le P. D. Nguyen Nga T.K. Le H. Nguyen-Xuan 52 4 0 04 Jul 2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers E. Panfilov S. Saarakkala M. Nieminen A. Tiulpin 67 2 0 03 Jul 2023
See Through the Fog: Curriculum Learning with Progressive Occlusion in Medical Imaging Pradeep Singh Kishore Babu Nampalle Vivek Narayan Uppala Balasubramanian Raman 45 2 0 27 Jun 2023
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net A. Khan Alif Ashrafee Fahim Shahriar Khan Md. Bakhtiar Hasan M. H. Kabir SSeg 63 6 0 25 Jun 2023
Segment Anything Model (SAM) for Radiation Oncology Hua Zhou Zheng Liu Lu Zhang Zihao Wu Xiao-Xing Yu ... Xiang Li Quanzheng Li Dajiang Zhu Tianming Liu Wen Liu VLM MedIm 90 34 0 20 Jun 2023
Statistical Tests for Replacing Human Decision Makers with Algorithms Kai Feng Han Hong Ke Tang Jingyuan Wang 33 6 0 20 Jun 2023
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images Yanru Chen Michael T Lu V. Raghu SSL 99 0 0 15 Jun 2023
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets Po-Yi Lu Yi-Jie Cheng Chun-Liang Li Hsuan-Tien Lin 88 8 0 15 Jun 2023
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models Aakash Mishra Rajat Mittal C. Jestin K. Tingos Pranav Rajpurkar 65 9 0 13 Jun 2023
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images Sultan Zavrak 59 1 0 12 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 130 140 0 09 Jun 2023
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation Shishuai Hu Zehui Liao Yong-quan Xia MedIm 121 32 0 08 Jun 2023
AutoML Systems For Medical Imaging Tasmia Tahmida Jidney A. Biswas Md Abdullah Al Nasim Ismail Hossain Md. jahangir Alam Sajedul Talukder Mofazzal Hossain Dr. Md Azim Ullah 55 3 0 07 Jun 2023
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models Muhammad Usman Akbar Måns Larsson Anders Eklund DiffM MedIm 60 31 0 05 Jun 2023
XAI Renaissance: Redefining Interpretability in Medical Diagnostic Models Sujith K Mandala 48 0 0 02 Jun 2023
Robust T-Loss for Medical Image Segmentation Alvaro Gonzalez-Jimenez Simone Lionetti Philippe Gottfrois Fabian Gröger Marc Pouly Alexander A. Navarini OOD 127 11 0 01 Jun 2023
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis Ziang Xu J. Rittscher Sharib Ali 101 4 0 31 May 2023
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity Yifu Zhang Hongru Li Tao Yang Rui Tao Zheng G. Liu ... Jiansong Zhang Ning Ma Wujin Feng Zhanhu Zhang Xinyu Zhang OOD MedIm 39 8 0 30 May 2023
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis Zolnamar Dorjsembe H. Pao Sodtavilan Odonchimed Furen Xiao DiffM MedIm 98 48 0 29 May 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers A. Venkataramanan Assia Benbihi Martin Laviale C´edric Pradalier UQCV 82 10 0 23 May 2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 61 0 0 23 May 2023
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing Matheus Henrique Marques da Silva Jhessica Victoria Santos da Silva Rodrigo Reis Arrais Wladimir Barroso Guedes de Araújo Neto Leonardo Tadeu Lopes ... Lucas B. Rondon Bruno Melo de Souza Mayara Costa Regazio Rodolfo Coelho Dalapicola C. F. G. Santos SupR VLM 58 4 0 19 May 2023
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach Zahra Tabatabaei Adrián Colomer Javier Oliver Moll Valery Naranjo MedIm 70 7 0 19 May 2023
Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion N. Lama R. Stanley Anand K. Nambisan Akanksha Maurya J. Hagerty W. Stoecker MedIm 38 1 0 16 May 2023
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal Zhongliang Jiang Felix Duelmer Nassir Navab 72 14 0 15 May 2023
eXplainable Artificial Intelligence on Medical Images: A Survey Matteus Vargas Simao da Silva Rodrigo Reis Arrais Jhessica Victoria Santos da Silva Felipe Souza Tanios Mateus A. Chinelatto ... Fabiana Cristina Queiroz de Oliveira Marucci Francisco Alves de Souza Neto Danilo Xavier Silva Vitor Yukio Kondo C. F. G. Santos MedIm XAI 40 1 0 12 May 2023
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation M. Hosseinzadeh A. Saha Joeran S. Bosma Henkjan Huisman 60 1 0 10 May 2023
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists R. Fioresi F. Zanchetta PINN 55 5 0 09 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 71 10 0 08 May 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 113 27 0 05 May 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 118 27 0 30 Apr 2023
Optimizing the AI Development Process by Providing the Best Support Environment Taha Khamis Hamam Mokayed 52 1 0 29 Apr 2023
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines C. M. Oliveira L. V. Moura R. Ravazio L. S. Kupssinskü Otávio Parraga Marcelo Mussi Delucis Rodrigo C. Barros VLM MedIm 158 27 0 28 Apr 2023
Deep reproductive feature generation framework for the diagnosis of COVID-19 and viral pneumonia using chest X-ray images Ceyhun Efe Kayan Talha Enes Koksal Arda Sevinc A. Gumus 45 1 0 20 Apr 2023
Multi-module based CVAE to predict HVCM faults in the SNS accelerator Yasir Alanazi M. Schram Kishansingh Rajput S. Goldenberg Lasitha Vidyaratne C. Pappas M. Radaideh Dawei Lu Pradeep Ramuhalli Sarah Cousineau 47 2 0 20 Apr 2023
Quantum machine learning for image classification Arsenii Senokosov Alexander Sedykh Asel Sagingalieva Basil Kyriacou A. Melnikov VLM 83 82 0 18 Apr 2023
EfficientNet Algorithm for Classification of Different Types of Cancer Romario Sameh Samir 38 1 0 18 Apr 2023
A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks Nicholas J. Pritchard A. Wicenec Bennamoun Richard Dodson 57 1 0 14 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 108 60 0 13 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 93 66 0 10 Apr 2023
ViT-Calibrator: Decision Stream Calibration for Vision Transformer Lin Chen Zhijie Jia Tian Qiu Lechao Cheng Jie Lei Zunlei Feng Min-Gyoo Song 64 2 0 10 Apr 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification Meng Wang Tian Lin Lianyu Wang Aidi Lin K. Zou ... Yang Liu C. Pang Xinjian Chen Haoyu Chen Huazhu Fu 208 39 0 08 Apr 2023
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images Shusuke Takahama Y. Kurose Yusuke Mukuta Hiroyuki Abe Akihiko Yoshizawa T. Ushiku M. Fukayama M. Kitagawa Masaru Kitsuregawa Tatsuya Harada 117 1 0 07 Apr 2023
InterFormer: Real-time Interactive Image Segmentation YouFu Huang Hao Yang Ke Sun Shengchuan Zhang Liujuan Cao Guannan Jiang Rongrong Ji 93 23 0 06 Apr 2023
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting Aayushi Tyagi Chirag Mohapatra Prasenjit Das G. Makharia Lalita Mehra A. Prathosh Mausam MedIm 91 20 0 03 Apr 2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators Xin Zhang Yuqi Song Xiang Wang Fei Zuo MedIm DiffM 47 2 0 03 Apr 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Xiaodan Li YueFeng Chen Yao Zhu Shuhui Wang Rong Zhang Hui Xue 82 26 0 30 Mar 2023