Publications by authors named "Mingde Lin"

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On Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report).
Menghua Xia, Reimund Bayerlein, Yanis Chemli, Xiaofeng Liu, Jinsong Ouyang, MingDe Lin

J Nucl Med· November 2025

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Noninvasive Tumor Profiling: Quantitative Contrast-Enhanced MRI Markers Predict PD-L1 and CTNNB1 Status in Hepatocellular Carcinoma.
Nickolai J Matuschewski, Rabea Sobirey, Margarita Revzin, Tal Zeevi, Moritz Gross, MingDe Lin

Radiology· August 2025

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Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features.
Marc von Reppert, Saahil Chadha, Klara Willms, Arman Avesta, Nazanin Maleki, MingDe Lin

AJNR Am J Neuroradiol· July 2025

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Volumetric Abdominal Aortic Aneurysm Analysis in Post EVAR Surveillance Settings.
Kathryn Simmons, David Weiss, Mariam Aboian, MingDe Lin, Khaled Bousabarah

Ann Vasc Surg· May 2025

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Tumor response assessment in hepatocellular carcinoma treated with immunotherapy: imaging biomarkers for clinical decision-making.
Rabea Sobirey, Nickolai Matuschewski, Moritz Gross, MingDe Lin, Tabea Kao

Eur Radiol· January 2025

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The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
Ahmed W Moawad, Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Marius George Linguraru, MingDe Lin, Christie M Lincoln, Katherine E Evan Link

ArXiv· December 2024

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Outcomes of repeat conventional transarterial chemoembolization in patients with liver metastases.
Kamyar Ghabili, Austin-Marley Windham-Herman, Menelaos Konstantinidis, Nikitha Murali, Tabea Borde, MingDe Lin

Ann Hepatol· October 2024

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Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging.
Jan Lost, Nader Ashraf, Leon Jekel, Marc von Reppert, Niklas Tillmanns, MingDe Lin

Neurooncol Adv· October 2024

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Intraprocedural C-arm dual-phase cone-beam enhancement patterns correlate with tumor absorbed dose after radioembolization.
Remco Bastiaannet, MingDe Lin, Eric C Frey, Hugo W A M de Jong

Med Phys· April 2024

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Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial.
Divya Ramakrishnan, Sarah C Brüningk, Marc von Reppert, Fatima Memon, Nazanin Maleki, MingDe Lin, Annette Molinaro

AJNR Am J Neuroradiol· April 2024

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A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information.
Divya Ramakrishnan, Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, MingDe Lin

Sci Data· February 2024

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Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas.
Niklas Tillmanns, Jan Lost, Joanna Tabor, Sagar Vasandani, Shaurey Vetsa, MingDe Lin

Sci Rep· December 2023

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Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial.
Marc von Reppert, Divya Ramakrishnan, Sarah C Brüningk, Fatima Memon, Sandra Abi Fadel, MingDe Lin

Neurooncol Adv· December 2023

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Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction.
Jan Lost, Tej Verma, Leon Jekel, Marc von Reppert, Niklas Tillmanns, MingDe Lin

AJNR Am J Neuroradiol· October 2023

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PACS-integrated machine learning breast density classifier: clinical validation.
John Lewin, Sven Schoenherr, Martin Seebass, MingDe Lin, Liane Philpotts, Linda Moy

Clin Imaging· September 2023

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A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information.
Divya Ramakrishnan, Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, MingDe Lin

ArXiv· September 2023

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AAPM Task Group Report 238: 3D C-arms with volumetric imaging capability.
Mark Supanich, Jeff Siewerdsen, Rebecca Fahrig, Keyvan Farahani, Grace Jianan Gang, MingDe Lin

Med Phys· August 2023

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An Interpretable Multitask Framework BiLAT Enables Accurate Prediction of Cyclin-Dependent Protein Kinase Inhibitors.
Xu Qian, Xiaowen Dai, Lin Luo, Mingde Lin, Yuan Xu, Lingxi Gu

J Chem Inf Model· June 2023

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Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning.
Ahmet Said Kucukkaya, Tal Zeevi, Nathan Xianming Chai, Rajiv Raju, Stefan Philipp Haider, MingDe Lin

Sci Rep· May 2023

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Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation.
Arman Avesta, Sajid Hossain, MingDe Lin, Mariam Aboian, Harlan M Krumholz

Bioengineering (Basel)· February 2023

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KID: A Kinase-Focused Interaction Database and Its Application in the Construction of Kinase-Focused Molecule Databases.
Xiaowen Dai, Yuan Xu, Haodi Qiu, Xu Qian, Mingde Lin, Lin Luo

J Chem Inf Model· December 2022

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Conventional vs. Drug-Eluting Beads Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma-A Propensity Score Weighted Comparison of Efficacy and Safety.
Lynn Jeanette Savic, Evan Chen, Nariman Nezami, Nikitha Murali, Charlie Alexander Hamm, Clinton Wang, MingDe Lin

Cancers (Basel)· November 2022

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Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction.
Mariam Aboian, Khaled Bousabarah, Eve Kazarian, Tal Zeevi, Wolfgang Holler, MingDe Lin

Front Neurosci· October 2022

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PET Image Denoising using a Deep-Learning Method for Extremely Obese Patients.
Hui Liu, Hamed Yousefi, Niloufar Mirian, MingDe Lin, David Menard

IEEE Trans Radiat Plasma Med Sci· September 2022

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Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries.
Niklas Tillmanns, Avery E Lum, Gabriel Cassinelli, Sara Merkaj, Tej Verma, MingDe Lin

Neurooncol Adv· June 2022

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