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"

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Title
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation Shishuai Hu Zehui Liao Yong-quan Xia MedIm 37 28 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 18 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 20 29 0 05 Jun 2023
XAI Renaissance: Redefining Interpretability in Medical Diagnostic Models Sujith K Mandala 19 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 16 10 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 23 3 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 27 7 0 30 May 2023
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis Zolnamar Dorjsembe H. Pao Sodtavilan Odonchimed Furen Xiao DiffM MedIm 28 39 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 39 7 0 23 May 2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 22 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 19 3 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 39 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 13 1 0 16 May 2023
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal Zhongliang Jiang Felix Duelmer Nassir Navab 31 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 23 1 0 12 May 2023
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation M. Hosseinzadeh A. Saha Joeran S. Bosma Henkjan Huisman 21 1 0 10 May 2023
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists R. Fioresi F. Zanchetta PINN 25 4 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 23 10 0 08 May 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 34 26 0 05 May 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 44 25 0 30 Apr 2023
Optimizing the AI Development Process by Providing the Best Support Environment Taha Khamis Hamam Mokayed 12 0 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 76 26 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 22 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 23 2 0 20 Apr 2023
Quantum machine learning for image classification Arsenii Senokosov Alexander Sedykh Asel Sagingalieva Basil Kyriacou A. Melnikov VLM 31 71 0 18 Apr 2023
EfficientNet Algorithm for Classification of Different Types of Cancer Romario Sameh Samir 20 1 0 18 Apr 2023
A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks Nicholas J. Pritchard A. Wicenec Bennamoun Richard Dodson 13 0 0 14 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi-Mou Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 33 50 0 13 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 26 56 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 26 1 0 10 Apr 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification Meng Wang Tian Lin Lianyu Wang Aidi Lin K. Zou ... Yong-Jin Liu C. Pang Xinjian Chen Haoyu Chen Huazhu Fu 99 35 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 28 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 40 22 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 21 17 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 15 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 29 24 0 30 Mar 2023
Medical Image Analysis using Deep Relational Learning Zhi-Hu Liu MedIm 17 0 0 28 Mar 2023
Influencer Backdoor Attack on Semantic Segmentation Haoheng Lan Jindong Gu Philip Torr Hengshuang Zhao AAML 26 6 0 21 Mar 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 22 2 0 20 Mar 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation Zhaohu Xing Lei Zhu Lequan Yu Zhiheng Xing Liang Wan 36 8 0 18 Mar 2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation Zhaohu Xing Liang Wan Huazhu Fu Guang Yang Lei Zhu MedIm 14 48 0 18 Mar 2023
Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis Lotte Nijskens Cornelis C. D. Berg Joost Verhoeff M. Maspero OOD MedIm 34 8 0 17 Mar 2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation Saikat Roy Gregor Koehler Constantin Ulrich Michael Baumgartner Jens Petersen Fabian Isensee Paul F. Jaeger Klaus Maier-Hein ViT MedIm 35 138 0 17 Mar 2023
Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images Xuesheng Bian Cheng-Yu Wang Shuting Chen Weiquan Liu Senmin Xu Jin Zhu Rugang Wang Zexin Chen Min Huang Gang Li MedIm LM&MA 19 1 0 13 Mar 2023
Exploring Cycle Consistency Learning in Interactive Volume Segmentation Qin Liu Meng Zheng Benjamin Planche Zhong Gao Terrence Chen Marc Niethammer Ziyan Wu 44 3 0 11 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 37 31 0 11 Mar 2023
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems A. Huq Weiyi Zhang Xiaolin Hu AAML 25 3 0 10 Mar 2023
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis Soumitri Chattopadhyay Soham Ganguly Sreejit Chaudhury Sayan Nag S. Chattopadhyay 21 0 0 09 Mar 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Mahboubeh Dadkhah Lionel C. Briand AAML 34 16 0 08 Mar 2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases Chong Fu Xuhong Zhang S. Ji Ting Wang Peng Lin Yanghe Feng Jianwei Yin AAML 43 10 0 28 Feb 2023