Active MR k-space Sampling with Reinforcement Learning

20 July 2020

Luis Villaseñor-Pineda

Papers citing "Active MR k-space Sampling with Reinforcement Learning"

32 / 32 papers shown

Title
Active Sampling for MRI-based Sequential Decision Making Yuning Du Jingshuai Liu R. Dharmakumar Sotirios A. Tsaftaris 52 0 0 07 May 2025
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing Seongmin Hong Jaehyeok Bae Jongho Lee S. Chun 26 0 0 18 Sep 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling Noam Elata T. Michaeli Michael Elad DiffM MedIm 29 9 0 11 Jul 2024
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems Gianluigi Silvestri F. V. Massoli Tribhuvanesh Orekondy Afshin Abdi Arash Behboodi 29 0 0 10 Jul 2024
The MRI Scanner as a Diagnostic: Image-less Active Sampling Yuning Du R. Dharmakumar Sotirios A. Tsaftaris 35 2 0 24 Jun 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction Chen-Yu Yen Raghav Singhal Umang Sharma Rajesh Ranganath S. Chopra Lerrel Pinto 32 1 0 06 Jun 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization F. V. Massoli Tim Bakker Thomas M. Hehn Tribhuvanesh Orekondy Arash Behboodi 55 0 0 06 Jun 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI George Yiasemis J. Sonke Jonas Teuwen 33 2 0 15 Mar 2024
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 46 24 0 22 Oct 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 31 1 0 28 Aug 2023
Control of a simulated MRI scanner with deep reinforcement learning S. Walker-Samuel MedIm 18 0 0 23 May 2023
Learning Task-Specific Strategies for Accelerated MRI Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian Dalca Katherine Bouman 38 4 0 25 Apr 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 36 5 0 27 Jan 2023
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning Pu Yang Bin Dong OffRL AI4TS 18 0 0 05 Dec 2022
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning Boxuan Zhao Jun Zhang Deheng Ye Jiancheng Cao Xiao Han Qiang Fu Wei Yang OffRL 31 9 0 04 Dec 2022
Active CT Reconstruction with a Learned Sampling Policy Member Ieee Ce Wang Kun Shang Member Ieee Haimiao Zhang Shang Zhao Senior Member Ieee Dong Liang F. I. S. Kevin Zhou 18 9 0 03 Nov 2022
E-Valuating Classifier Two-Sample Tests T. Pandeva Tim Bakker C. A. Naesseth Patrick Forré 28 10 0 24 Oct 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI Lin Zhao Xiao Chen Eric Z. Chen Yikang Liu Dinggang Shen Terrence Chen Shanhui Sun 35 6 0 22 Oct 2022
Reproducibility of the Methods in Medical Imaging with Deep Learning A. Simkó A. Garpebring J. Jonsson T. Nyholm Tommy Löfstedt OOD 13 8 0 20 Oct 2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction Timothy C. Bakker Matthew Muckley Adriana Romero Soriano M. Drozdzal Luis Villaseñor-Pineda 20 18 0 30 Mar 2022
Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework Yiming Liu Yanwei Pang Ruiqi Jin Zhenchang Wang MedIm 21 2 0 11 Mar 2022
A Note on Machine Learning Approach for Computational Imaging Bin Dong 26 0 0 24 Feb 2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction Bo Zhou Neel Dey Jo Schlemper S. Salehi Chi Liu James S. Duncan M. Sofka MedIm 30 56 0 26 Jan 2022
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI Zhishen Huang S. Ravishankar MedIm 65 9 0 17 Nov 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks A. Razumov Oleg Y. Rogov Dmitry Dylov 38 9 0 10 Aug 2021
Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future Andreas K. Maier Harald Kostler M. Heisig P. Krauss S. Yang MedIm 40 29 0 10 Aug 2021
Active 3D Shape Reconstruction from Vision and Touch Edward James Smith D. Meger Luis Villaseñor-Pineda Roberto Calandra Jitendra Malik Adriana Romero M. Drozdzal 13 45 0 20 Jul 2021
Towards Robust Active Feature Acquisition Yang Li Siyuan Shan Qin Liu Junier B. Oliva TPM 18 4 0 09 Jul 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 16 19 0 13 May 2021
Deep reinforcement learning-designed radiofrequency waveform in MRI Dongmyung Shin Younghoon Kim Chung‐Hyok Oh Hongjun An Juhyung Park Jiye G. Kim Jongho Lee 23 20 0 07 May 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 29 146 0 05 Mar 2021
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 27 55 0 30 Oct 2020