An overview of deep learning in medical imaging focusing on MRI

25 November 2018

Papers citing "An overview of deep learning in medical imaging focusing on MRI"

50 / 58 papers shown

Title
Towards a deep learning approach for classifying treatment response in glioblastomas Ana Matoso Catarina Passarinho Marta P. Loureiro José Maria Moreira Patrícia Figueiredo Rita G. Nunes AI4CE 28 0 0 25 Apr 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 76 5 0 21 Feb 2025
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs Fan Wang Zhilin Zou N. Sakla Luke Partyka Nil Rawal ... Wei Zhao Haibin Ling Chuan Huang Prateek Prasanna Cheng Chen MedIm 29 3 0 05 Nov 2024
Yucca: A Deep Learning Framework For Medical Image Analysis S. Llambias Julia Machnio Asbjorn Munk Jakob Ambsdorf Mads Nielsen Mostafa Mehdipour-Ghazi MedIm 28 3 0 29 Jul 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 32 5 0 03 Jun 2024
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma Shadab Ahamed Natalia Dubljevic I. Bloise C. Gowdy Patrick Martineau Don C. Wilson C. Uribe Arman Rahmim F. Yousefirizi MedIm 32 3 0 11 Mar 2024
HICH Image/Text (HICH-IT): Comprehensive Text and Image Datasets for Hypertensive Intracerebral Hemorrhage Research Jie Li Yulong Xia Tongxin Yang Fenglin Cai Miao Wei Zhiwei Zhang Li Jiang VLM 28 0 0 29 Jan 2024
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 25 10 0 07 Dec 2023
Towards Interpretable Classification of Leukocytes based on Deep Learning S. Röhrl Johannes Groll M. Lengl Simon Schumann C. Klenk D. Heim Martin Knopp Oliver Hayden Klaus Diepold 30 2 0 24 Nov 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 33 5 0 05 Aug 2023
3D Medical Image Segmentation based on multi-scale MPU-Net Zeqiu Yu Shuo Han Ziheng Song 3DV 14 3 0 11 Jul 2023
Generalizable synthetic MRI with physics-informed convolutional networks Luuk Jacobs S. Mandija Hongyan Liu C. D. Berg A. Sbrizzi M. Maspero OOD MedIm 17 2 0 21 May 2023
Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics Ayyub Alzahem Shahid Latif W. Boulila Anis Koubaa 29 5 0 12 May 2023
Multimodal and multicontrast image fusion via deep generative models Giovanna Maria Dimitri Simeon E. Spasov A. Duggento L. Passamonti Pietro Lio' N. Toschi MedIm 13 27 0 28 Mar 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 28 20 0 20 Feb 2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI Xin Zhang Liangxiu Han Lianghao Han Haoming Chen Darren Dancey Daoqiang Zhang MedIm 18 4 0 17 Feb 2023
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing Jie Fu Zhili Chen Xinpeng Ling 25 0 0 14 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi Diane Bouchacourt Randall Balestriero Ivan Evtimov C. Hazirbas Nicolas Ballas Pascal Vincent M. Drozdzal David Lopez-Paz Mark Ibrahim VLM ViT 51 45 0 03 Nov 2022
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 105 285 0 15 Sep 2022
MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques Pascal Maniriho A. N. Mahmood M. Chowdhury 17 7 0 08 Sep 2022
Detecting Adversarial Examples in Batches -- a geometrical approach Danush Kumar Venkatesh Peter Steinbach AAML 11 2 0 17 Jun 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
Membership Inference Attack Using Self Influence Functions Gilad Cohen Raja Giryes TDI 32 12 0 26 May 2022
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma Liangrui Pan Hetian Wang Lian-min Wang Boya Ji Mingting Liu M. Chongcheawchamnan Yuan Jin Shaoliang Peng ViT MedIm 17 34 0 29 Apr 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 36 9 0 02 Mar 2022
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas Maier OOD 22 14 0 01 Feb 2022
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction M. Bengs F. Behrendt M. Laves Julia Kruger R. Opfer Alexander Schlaefer MedIm 27 9 0 31 Jan 2022
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation Zahra Sobhaninia N. Karimi P. Khadivi S. Samavi 22 3 0 28 Dec 2021
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations A. Benfenati A. Marta 51 11 0 17 Dec 2021
A real-time spatiotemporal AI model analyzes skill in open surgical videos E. Goodman Krishna K. Patel Yilun Zhang William Locke C. Kennedy ... Maren Downing H. Chen Jevin Z. Clark G. Brat Serena Yeung 21 21 0 14 Dec 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 29 19 0 24 Nov 2021
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction Sriprabha Ramanarayanan Balamurali Murugesan Keerthi Ram M. Sivaprakasam 29 8 0 09 Nov 2021
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI M. Bengs F. Behrendt Julia Kruger R. Opfer Alexander Schlaefer 22 2 0 14 Sep 2021
A framework for benchmarking uncertainty in deep regression F. Schmähling Jörg Martin Clemens Elster UQCV 38 8 0 10 Sep 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 22 39 0 13 Jul 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 30 6 0 20 Apr 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 19 115 0 22 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 38 143 0 03 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 21 72 0 27 Feb 2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Dominik Narnhofer Alexander Effland Erich Kobler Kerstin Hammernik Florian Knoll T. Pock UQCV BDL 23 49 0 12 Feb 2021
Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images E. H. Houssein Z. Abohashima M. Elhoseny W. M. Mohamed 40 71 0 08 Feb 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 20 271 0 04 Dec 2020
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images Sagar Kora Venu LM&MA 14 20 0 11 Nov 2020
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification H. Barzekar Zeyun Yu 14 40 0 30 Oct 2020
Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial Jussi Tohka M. Gils 17 88 0 31 Aug 2020
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope S. Feizi TDI 37 219 0 25 Jun 2020
Automatic detection and counting of retina cell nuclei using deep learning S. Hosseini Hao Chen M. Jablonski 26 11 0 10 Feb 2020
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction Sriprabha Ramanarayanan Balamurali Murugesan Keerthi Ram M. Sivaprakasam 19 42 0 08 Jan 2020
$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction Kerstin Hammernik Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Daniel Rueckert 30 24 0 18 Dec 2019
Class-Conditional VAE-GAN for Local-Ancestry Simulation D. M. Montserrat C. Bustamante A. Ioannidis 14 19 0 27 Nov 2019