Recurrent neural networks for aortic image sequence segmentation with sparse annotations

1 August 2018

Papers citing "Recurrent neural networks for aortic image sequence segmentation with sparse annotations"

37 / 37 papers shown

Title
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation Ke Zhang Vishal M. Patel 49 0 0 28 Mar 2025
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows P. Du Delin An Chaoli Wang Jian-Xun Wang MedIm AI4CE 56 1 0 16 Mar 2025
Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning Francesco Girlanda Olga Demler Bjoern H. Menze Neda Davoudi 42 0 0 08 Nov 2024
Natural Language Querying System Through Entity Enrichment Joshua Amavi Mirian Halfeld Ferrari Nicolas Hiot 21 3 0 21 Oct 2024
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base Yidong Zhao Yi Zhang Orlando Simonetti Yuchi Han Qian Tao 54 1 0 04 Oct 2024
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation Ke Zhang Vishal M. Patel 41 2 0 19 Jun 2024
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models G. Guo Lifu Deng A. Tandon Alex Endert Bum Chul Kwon 39 2 0 24 Apr 2024
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations Hong Liu Dong Wei Donghuan Lu Xiaoying Tang Liansheng Wang Yefeng Zheng 21 9 0 04 Dec 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 40 12 0 10 Oct 2023
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images Alina F. Dima Veronika A. Zimmer M. Menten H. Li Markus Graf ... Philipp Raffler Robert Graf Jan S. Kirschke R. Braren Daniel Rueckert 3DPC 21 2 0 15 Sep 2023
INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses Amirhossein Sajedi Mohammad Javad Fadaeieslam 15 0 0 05 Sep 2023
Sparse annotation strategies for segmentation of short axis cardiac MRI J. Stein Maxime Di Folco J. Schnabel 30 1 0 24 Jul 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 29 47 0 24 Mar 2023
An atrium segmentation network with location guidance and siamese adjustment Yu Xie Zhiyong Zhang Shaolong Chen Changzhen Qiu 3DPC MedIm 18 0 0 11 Jan 2023
Partial annotations for the segmentation of large structures with low annotation cost Bella Specktor-Fadida Daphna Link-Sourani Liat Ben Sira Elka Miller D. Ben Bashat Leo Joskowicz 30 2 0 25 Sep 2022
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation Kecheng Zhang Xiahai Zhuang 14 28 0 05 Jun 2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. K. Zhou ViT OOD MedIm 23 21 0 02 Jun 2022
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision Kecheng Zhang Xiahai Zhuang 21 68 0 03 Mar 2022
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Yinghuan Shi Jian Zhang T. Ling Jiwen Lu Yefeng Zheng Qian Yu Lei Qi Yang Gao UQCV 17 144 0 17 Oct 2021
Weakly Supervised Few-Shot Segmentation Via Meta-Learning P. H. T. Gama Hugo Oliveira J. M. Junior J. D. Santos VLM 27 19 0 03 Sep 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
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
Convolution-Free Medical Image Segmentation using Transformers Davood Karimi Serge Vasylechko Ali Gholipour ViT MedIm 84 121 0 26 Feb 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation Vien Ngoc Dang Francesco Galati Rosa Cortese G. Giacomo Viola Marconeto Pratek Mathur Karim Lekadir Marco Lorenzi F. Prados Maria A. Zuluaga MedIm 25 35 0 22 Jan 2021
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation Soopil Kim Sion An Philip Chikontwe Sang Hyun Park 30 41 0 19 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 55 624 0 02 Aug 2020
LORCK: Learnable Object-Resembling Convolution Kernels E. Lazareva Oleg Y. Rogov O. Shegaǐ D. Larionov Dmitry V. Dylov 19 4 0 09 Jul 2020
Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIs J. Ouyang Qingyu Zhao E. Sullivan A. Pfefferbaum S. Tapert Ehsan Adeli K. Pohl 14 17 0 31 Mar 2020
Artificial Intelligence in Surgery Xiao-Yun Zhou Yao Guo Mali Shen Guang-Zhong Yang AI4CE 30 5 0 23 Dec 2019
Deep learning for cardiac image segmentation: A review Chia-Ju Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 674 0 09 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 45 667 0 16 Oct 2019
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions Reza Azad Maryam Asadi-Aghbolaghi M. Fathy Sergio Escalera SSeg MedIm 22 342 0 31 Aug 2019
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations Gabriele Valvano A. Chartsias Andrea Leo Sotirios A. Tsaftaris OOD MedIm 25 8 0 29 Aug 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 33 751 0 27 Aug 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 17 126 0 22 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 26 200 0 15 Feb 2019