Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT. - Viktor Haase; Oliver Taubmann; Yixing Huang; Gregor Krings; Günter Lauritsch; Andreas K. Maier; Alfred Mertins (Bildverarbeitung für die Medizin, 2016)

Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model. - Yixing Huang; Guenter Lauritsch; Mario Amrehn; Oliver Taubmann; Viktor Haase; Daniel Stromer; Xiaolin Huang; Andreas K. Maier (Bildverarbeitung für die Medizin, 2016)

A new weighted anisotropic total variation algorithm for limited angle tomography. - Yixing Huang; Oliver Taubmann; Xiaolin Huang; Viktor Haase; Günter Lauritsch; Andreas K. Maier (ISBI, 2016)

Comparison of SART and ETV reconstruction for increased C-arm CT volume coverage by proper detector rotation in liver imaging. - Daniel Stromer; Mario Amrehn; Yixing Huang; Patrick Kugler; Sebastian Bauer 001; Günter Lauritsch; Andreas K. Maier (ISBI, 2016)

Overexposure Correction by Mixed One-Bit Compressive Sensing for C-Arm CT. - Xiaolin Huang; Yan Xia 002; Yixing Huang; Joachim Hornegger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. - Xiaolin Huang; Yan Xia 002; Lei Shi 010; Yixing Huang; Ming Yan 006; Joachim Hornegger; Andreas K. Maier (CoRR, 2017)

Scale-Space Anisotropic Total Variation for Limited Angle Tomography. - Yixing Huang; Oliver Taubmann; Xiaolin Huang; Viktor Haase; Guenter Lauritsch; Andreas K. Maier (CoRR, 2017)

Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography. - Yixing Huang; Yanye Lu; Oliver Taubmann; Guenter Lauritsch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. - Yixing Huang; Tobias Würfl; Katharina Breininger; Ling Liu; Günter Lauritsch; Andreas K. Maier (MICCAI (1), 2018)

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. - Tobias Würfl; Mathis Hoffmann; Vincent Christlein; Katharina Breininger; Yixing Huang; Mathias Unberath; Andreas K. Maier (IEEE Trans. Medical Imaging, 2018)

Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. - Yixing Huang; Tobias Würfl; Katharina Breininger; Ling Liu; Günter Lauritsch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. - Yixing Huang; Alexander Preuhs; Günter Lauritsch; Michael Manhart 001; Xiaolin Huang; Andreas Maier 001 (MLMIR@MICCAI, 2019)

Traditional machine learning for limited angle tomography. - Yixing Huang; Yanye Lu; Oliver Taubmann; Guenter Lauritsch; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2019)

Superpixel-Based Background Recovery from Multiple Images. - Lei Gao; Yixing Huang; Andreas K. Maier (CoRR, 2019)

Robust mixed one-bit compressive sensing. - Xiaolin Huang; Haiyan Yang; Yixing Huang; Lei Shi 010; Fan He; Andreas K. Maier; Ming Yan 006 (Signal Process., 2019)

Field of View Extension in Computed Tomography Using Deep Learning Prior. - Yixing Huang; Lei Gao; Alexander Preuhs; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning. - Yixing Huang; Shengxiang Wang; Yong Guan; Andreas K. Maier (CoRR, 2020)

Projection Inpainting Using Partial Convolution for Metal Artifact Reduction. - Lin Yuan; Yixing Huang; Andreas K. Maier (CoRR, 2020)

Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images. - Yixing Huang; Alexander Preuhs; Michael Manhart 001; Guenter Lauritsch; Andreas K. Maier (CoRR, 2020)

Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. - Leonid Mill; David Wolff 003; Nele Gerrits; Patrick Philipp; Lasse Kling; Florian Vollnhals; Andrew Ignatenko; Christian Jaremenko; Yixing Huang; Olivier De Castro; Jean-Nicolas Audinot; Inge Nelissen; et al. (CoRR, 2020)

Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization. - Chang Liu; Yixing Huang; Joscha Maier; Laura Klein; Marc Kachelrieß; Andreas Maier 001 (CoRR, 2020)

Appearance Learning for Image-Based Motion Estimation in Tomography. - Alexander Preuhs; Michael Manhart 001; Philipp Roser; Elisabeth Hoppe; Yixing Huang; Marios Psychogios; Markus Kowarschik; Andreas K. Maier (IEEE Trans. Medical Imaging, 2020)

Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography. - Yixing Huang (2020)

Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy. - Yixing Huang; Leonid Mill; Robert Stoll; Lasse Kling; Oliver Aust; Fabian Wagner; Anika Grüneboom; Georg Schett; Silke H. Christiansen; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. - Jintian Xu; Chengjin Sun; Yixing Huang; Xiaolin Huang (Bildverarbeitung für die Medizin, 2021)

Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery. - Fuxin Fan; Björn W. Kreher; Holger Keil; Andreas Maier 001; Yixing Huang (CoRR, 2021)

Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. - Yixing Huang; Christoph Bert; Philipp Sommer; Benjamin Frey; Udo Gaipl; Luitpold V. Distel; Thomas Weissmann; Michael Uder; Manuel A. Schmidt; Arnd Dörfler; Andreas K. Maier; Rainer Fietkau; et al. (CoRR, 2021)

Cephalogram synthesis and landmark detection in dental cone-beam CT systems. - Yixing Huang; Fuxin Fan; Christopher Syben; Philipp Roser; Leonid Mill; Andreas Maier 001 (Medical Image Anal., 2021)

Data Extrapolation From Learned Prior Images for Truncation Correction in Computed Tomography. - Yixing Huang; Alexander Preuhs; Michael Manhart 001; Guenter Lauritsch; Andreas Maier 001 (IEEE Trans. Medical Imaging, 2021)

Machine Learning-based Detection of Spherical Markers in CT Volumes. - Disha D. Rao; Nicole Maass; Frank Dennerlein; Andreas K. Maier; Yixing Huang (Bildverarbeitung für die Medizin, 2022)

Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. - Fabian Wagner; Mareike Thies; Marek Karolczak; Sabrina Pechmann; Yixing Huang; Mingxuan Gu; Lasse Kling; Daniela Weidner; Oliver Aust; Georg Schett; Silke H. Christiansen; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography. - Fabian Wagner; Mareike Thies; Mingxuan Gu; Yixing Huang; Sabrina Pechmann; Mayank Patwari; Stefan B. Ploner; Oliver Aust; Stefan Uderhardt; Georg Schett; Silke H. Christiansen; Andreas K. Maier (CoRR, 2022)

Learning Perspective Deformation in X-Ray Transmission Imaging. - Yixing Huang; Andreas K. Maier; Rainer Fietkau; Christoph Bert; Florian Putz (CoRR, 2022)

Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification. - Yixing Huang; Christoph Bert; Stefan Fischer; Manuel A. Schmidt; Arnd Dörfler; Andreas K. Maier; Rainer Fietkau; Florian Putz (CoRR, 2022)

Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. - Fabian Wagner; Mareike Thies; Felix Denzinger; Mingxuan Gu; Mayank Patwari; Stefan B. Ploner; Noah Maul; Laura Pfaff; Yixing Huang; Andreas K. Maier (CoRR, 2022)

Deep Learning for automatic head and neck lymph node level delineation. - Thomas Weissmann; Yixing Huang; Stefan Fischer; Johannes Roesch; Sina Mansoorian; Horacio Ayala Gaona; Antoniu-Oreste Gostian; Markus Hecht; Sebastian Lettmaier; Lisa Deloch; Benjamin Frey; Udo S. Gaipl; et al. (CoRR, 2022)

Abstract: Fiducial Marker Recovery and Detection From Severely Truncated Data in Navigation-assisted Spine Surgery. - Fuxin Fan; Björn W. Kreher; Holger Keil; Andreas K. Maier; Yixing Huang (Bildverarbeitung für die Medizin, 2023)

Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. - Fabian Wagner; Mareike Thies; Felix Denzinger; Mingxuan Gu; Mayank Patwari; Stefan B. Ploner; Noah Maul; Laura Pfaff; Yixing Huang; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

Metal-conscious Embedding for CBCT Projection Inpainting. - Fuxin Fan; Yangkong Wang; Ludwig Ritschl; Ramyar Biniazan; Marcel Beister; Björn W. Kreher; Yixing Huang; Steffen Kappler; Andreas Maier 001 (ISBI, 2023)

Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning. - Philipp Sommer; Yixing Huang; Christoph Bert; Andreas K. Maier; Manuel A. Schmidt; Arnd Dörfler; Rainer Fietkau; Florian Putz (CoRR, 2023)

Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy. - Mareike Thies; Fabian Wagner; Mingxuan Gu; Yixing Huang; Sabrina Pechmann; Oliver Aust; Daniela Weidner; Georgiana Neag; Stefan Uderhardt; Georg Schett; Silke H. Christiansen; Andreas K. Maier (CoRR, 2023)

The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning. - Florian Putz; Johanna Grigo; Thomas Weissmann; Philipp Schubert; Daniel Hoefler; Ahmed Gomaa; Hassen Ben Tkhayat; Amr Hagag; Sebastian Lettmaier; Benjamin Frey; Udo S. Gaipl; Luitpold V. Distel; et al. (CoRR, 2023)

Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training Exam (TXIT): Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology. - Yixing Huang; Ahmed Gomaa; Thomas Weissmann; Johanna Grigo; Hassen Ben Tkhayat; Benjamin Frey; Udo S. Gaipl; Luitpold V. Distel; Andreas K. Maier; Rainer Fietkau; Christoph Bert; Florian Putz (CoRR, 2023)

BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction. - Zhisheng Wang; Haijun Yu; Yixing Huang; Shunli Wang 004; Song Ni; Zongfeng Li; Fenglin Liu; Junning Cui (CoRR, 2023)

OSNet & MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios. - Zhisheng Wang; Zihan Deng; Fenglin Liu; Yixing Huang; Haijun Yu; Junning Cui (CoRR, 2023)

A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration. - Yixing Huang; Christoph Bert; Ahmed Gomaa; Rainer Fietkau; Andreas K. Maier; Florian Putz (CoRR, 2023)

Weighted Filtered Back-Projection for Source Translation Computed Tomography Reconstruction. - Jie Chen; Haijun Yu; Song Ni; Chuanjiang Liu; Wenjie Ge; Yixing Huang; Fenglin Liu (IEEE Trans. Instrum. Meas., 2023)

Abstract: Metal-conscious Embedding for CBCT Projection Inpainting. - Fuxin Fan; Yangkong Wang; Ludwig Ritschl; Ramyar Biniazan; Marcel Beister; Björn W. Kreher; Yixing Huang; Steffen Kappler; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Exploring Epipolar Consistency Conditions. - Mareike Thies; Fabian Wagner; Mingxuan Gu; Siyuan Mei; Yixing Huang; Sabrina Pechmann; Oliver Aust; Daniela Weidner; Georgiana Neag; Stefan Uderhardt; Georg Schett; Silke H. Christiansen; et al. (Bildverarbeitung für die Medizin, 2024)

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding. - Amr Hagag; Ahmed Gomaa; Dominik Kornek; Andreas Maier 001; Rainer Fietkau; Christoph Bert; Yixing Huang; Florian Putz (MICCAI (5), 2024)

An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration. - Yixing Huang; Christoph Bert; Ahmed Gomaa; Rainer Fietkau; Andreas K. Maier; Florian Putz (IEEE Access, 2024)

Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization. - Chang Liu; Laura Klein; Yixing Huang; Edith Baader; Michael Lell; Marc Kachelrieß; Andreas K. Maier (CoRR, 2024)

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction. - Yipeng Sun; Yixing Huang; Linda-Sophie Schneider; Mareike Thies; Mingxuan Gu; Siyuan Mei; Siming Bayer; Andreas K. Maier (CoRR, 2024)

Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy. - Siyuan Mei; Fuxin Fan; Mareike Thies; Mingxuan Gu; Fabian Wagner; Oliver Aust; Ina Erceg; Zeynab Mirzaei; Georgiana Neag; Yipeng Sun; Yixing Huang; Andreas Maier 001 (CoRR, 2024)

Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation. - Yixing Huang; Zahra Khodabakhshi; Ahmed Gomaa; Manuel A. Schmidt; Rainer Fietkau; Matthias Guckenberger; Nicolaus Andratschke; Christoph Bert; Stephanie Tanadini-Lang; Florian Putz (CoRR, 2024)

Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. - Ahmed Gomaa; Yixing Huang; Amr Hagag; Charlotte Schmitter; Daniel Höfler; Thomas Weissmann; Katharina Breininger; Manuel A. Schmidt; Jenny Stritzelberger; Daniel Delev; Roland Coras; Arnd Dörfler; et al. (CoRR, 2024)

Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion. - Fuxin Fan; Jingna Qiu; Yixing Huang; Andreas K. Maier (CoRR, 2024)

Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data. - Yixing Huang; Fuxin Fan; Ahmed Gomaa; Andreas Maier 001; Rainer Fietkau; Christoph Bert; Florian Putz (CoRR, 2024)

Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology. - Yihao Hou; Christoph Bert; Ahmed Gomaa; Godehard Lahmer; Daniel Höfler; Thomas Weissmann; Raphaela Voigt; Philipp Schubert; Charlotte Schmitter; Alina Depardon; Sabine Semrau; Andreas K. Maier; et al. (Frontiers Artif. Intell., 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

OSNet and MNetO: Two Types of General Reconstruction Architectures to Transform DBP Images for Linear Computed Tomography in Multi-Scenarios. - Zhisheng Wang; Zihan Deng; Fenglin Liu; Yixing Huang; Haijun Yu; Junning Cui (IEEE Trans. Instrum. Meas., 2024)

BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction. - Zhisheng Wang; Haijun Yu; Yixing Huang; Shunli Wang 004; Song Ni; Zongfeng Li; Zihan Deng; Fengling Liu; Junning Cui (IEEE Trans. Instrum. Meas., 2024)

Multiple Source Translation Micro-CT Improves Both Field-of-View and Spatial Resolution. - Haijun Yu; Song Ni; Mareike Thies; Fabian Wagner; Yixing Huang; Fengling Liu; Andreas K. Maier (IEEE Trans. Instrum. Meas., 2024)

ECS-Net: Extracellular space segmentation with contrastive and shape-aware loss by using cryo-electron microscopy imaging. - Chuqiao Yang; Jiayi Xie; Xinrui Huang; Hanbo Tan; Qirun Li; Zeqing Tang; Xinlei Ma; Jiabin Lu; Qingyuan He; Wanyi Fu; Yixing Huang; Junhao Yan; et al. (Expert Syst. Appl., 2025)

Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support. - Florian Putz; Marlen Haderleina; Sebastian Lettmaier; Sabine Semrau; Rainer Fietkau; Yixing Huang (CoRR, 2025)

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma. - Ahmed Gomaa; Yixing Huang; Pluvio Stephan; Katharina Breininger; Benjamin Frey; Arnd Dörfler; Oliver Schnell; Daniel Delev; Roland Coras; Charlotte Schmitter; Jenny Stritzelberger; Sabine Semrau; et al. (CoRR, 2025)

GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes. - Lina Qin; Cheng Zhu; Chuqi Zhou; Yukun Huang; Jiayi Zhu; Ping Liang; Jinju Wang; Yixing Huang; Cheng Luo; Dezhong Yao 001; Ying Tan (CoRR, 2025)