Deep Learning for Medical Image Analysis

17 August 2017

Papers citing "Deep Learning for Medical Image Analysis"

50 / 150 papers shown

Title
Brain Imaging Generation with Latent Diffusion Models W. H. Pinaya Petru-Daniel Tudosiu J. Dafflon P. F. D. Costa Virginia Fernandez P. Nachev Sebastien Ourselin M. Jorge Cardoso DiffM MedIm 107 285 0 15 Sep 2022
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures Ran Gu Jingyang Zhang Guotai Wang Wenhui Lei Tao Song Xiaofan Zhang Kang Li Shaoting Zhang 29 41 0 18 Aug 2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation Xiaofeng Liu Fangxu Xing Jane You Jun Lu C.-C. Jay Kuo G. El Fakhri Jonghye Woo OOD 39 6 0 16 Aug 2022
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices Dat Ngo Thao T. B. Nguyen Hieu T. Nguyen D. Nguyen H. Nguyen Hieu H. Pham OOD 38 2 0 05 Aug 2022
An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans Hussein Hashem Yasmin M. Alsakar A. Elgarayhi Mohammed M Elmogy M. Sallah 14 0 0 01 Aug 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 15 1 0 21 Jul 2022
Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning Yiran Li Ze Wang 28 0 0 13 Jun 2022
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision Dingyi Rong Jiancheng Yang Bingbing Ni B. Ke 25 0 0 11 Jun 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 24 2 0 06 May 2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning Dongnan Liu Mariano Cabezas Dongang Wang Zihao Tang Lei Bai ... Fernando Calamante Michael Barnett Wanli Ouyang Weidong (Tom) Cai Chenyu Wang FedML 21 4 0 03 May 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 39 3 0 01 Apr 2022
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study Alex Zhang Naomi Fengqi Li OOD FedML 32 4 0 24 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation Wenqiao Zhang Lei Zhu James Hallinan A. Makmur Shengyu Zhang Qingpeng Cai Beng Chin Ooi 30 79 0 04 Mar 2022
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine Xinyu Chen Jiahuan Lv Dehua Feng X. Mou L. Bai Shu Zhang Zhiguo Zhou 24 1 0 04 Mar 2022
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs V. Kulkarni S. Pawale A. Kharat 19 12 0 19 Feb 2022
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model Javad Hassannataj Joloudari Hamid Saadatfar Mohammad Ghasemigol R. Alizadehsani Z. Sani F. Hasanzadeh Edris Hassannataj Danial Sharifrazi Zulkefli Mansor 31 11 0 09 Feb 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Dominik Muller Iñaki Soto Rey Frank Kramer 29 56 0 27 Jan 2022
Virtual Adversarial Training for Semi-supervised Breast Mass Classification Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu 28 5 0 25 Jan 2022
$Diffractive all-optical computing for quantitative phase imaging$ Diffractive all-optical computing for quantitative phase imaging Deniz Mengu A. Ozcan 34 66 0 22 Jan 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis Xi Ouyang Srikrishna Karanam Ziyan Wu Terrence Chen Jiayu Huo X. Zhou Qian Wang Jie-Zhi Cheng OOD 18 89 0 23 Dec 2021
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images Qin Liu Zhenlin Xu Yining Jiao Marc Niethammer ViT MedIm 49 37 0 21 Dec 2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels Sun-Beom Hong A. Bonkhoff Andrew Hoopes Martin Bretzner M. Schirmer A. Giese Adrian V. Dalca Polina Golland N. Rost UQCV 30 7 0 13 Dec 2021
Data Augmentation For Medical MR Image Using Generative Adversarial Networks Panjian Huang Xu Liu Yongzhen Huang OOD MedIm 17 10 0 29 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Cheng Ouyang Chia-Ju Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 30 155 0 24 Nov 2021
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis Jiarong Ye Yuan Xue Peter Liu R. Zaino K. Cheng Xiaolei Huang MedIm 30 8 0 10 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni AAML 30 18 0 10 Nov 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 36 14 0 27 Oct 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings Jan Macdonald Mathieu Besançon Sebastian Pokutta 32 11 0 15 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
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 49 21 0 07 Oct 2021
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction Umut Guvercin Mohammed Amine Gharsallaoui I. Rekik 34 6 0 06 Oct 2021
3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework Shafinul Haque Ayaan Haque GAN MedIm 21 1 0 22 Sep 2021
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation Ran Gu Jingyang Zhang Rui Huang Wenhui Lei Guotai Wang Shaoting Zhang OOD 23 27 0 18 Sep 2021
Asymmetric 3D Context Fusion for Universal Lesion Detection Jiancheng Yang Yi He Kaiming Kuang Zudi Lin Hanspeter Pfister Bingbing Ni 3DPC MedIm 33 22 0 17 Sep 2021
A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation S. Hasan Cristian A. Linte 27 7 0 16 Sep 2021
Studying the Effects of Self-Attention for Medical Image Analysis Adrit Rao Jongchan Park Sanghyun Woo Joon-Young Lee Oliver Aalami 22 26 0 02 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images Jiafan Zhuang Wanying Tao Jianfei Xing Wei Shi Ruixuan Wang Weishi Zheng FAtt 37 3 0 25 Aug 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions Penghua Zhai Huaiwei Cong Gangming Zhao Chaowei Fang Jinpeng Li Ting Cai Huiguang He 27 10 0 17 Aug 2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Shuailin Li Zhitong Gao Xuming He NoLa 27 26 0 21 Jul 2021
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review Subrato Bharati Prajoy Podder M. Rubaiyat Hossain Mondal V. B. Surya Prasath 25 39 0 13 Jul 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation Chia-Ju Chen Kerstin Hammernik Cheng Ouyang C. Qin Wenjia Bai Daniel Rueckert OOD 17 20 0 02 Jul 2021
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs Hieu T. Nguyen Hieu H. Pham N. T. Nguyen H. Nguyen T. Q. Huynh Minh Dao V. Vu MedIm 19 34 0 24 Jun 2021
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers Hechen Yang Chen Li Jinghua Zhang Penghui Zhao Ao Chen Xin Zhao Tao Jiang M. Grzegorzek 25 1 0 22 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 572 0 27 May 2021
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs M. Martell Mitchell Chen K. Linton-Reid J. Posma S. Copley E. Aboagye 11 3 0 11 May 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer M. Elmahdy Laurens Beljaards Sahar Yousefi Hessam Sokooti F. Verbeek U. A. van der Heide Marius Staring 27 20 0 05 May 2021
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy Yunxiang Li G. Zeng Yifan Zhang Jun Wang Qianni Zhang ... Neng Xia Ruizi Peng Kai Tang Yaqi Wang Shuai Wang MedIm AI4CE 92 28 0 02 May 2021
A Deep Learning Framework for Lifelong Machine Learning Charles X. Ling Tanner A. Bohn CLL 22 5 0 01 May 2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT Xiaohang Fu Lei Bi Ashnil Kumar M. Fulham Jinman Kim 14 29 0 05 Mar 2021