Lukas Folle
Lukas Folle, PhD
Academic CV
- 11/2023
Successful PhD defense - 08/2020 – 03/2023:
PhD Student at Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg - 10/2017 – 07/2020:
M. Sc. Medical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg - 10/2014 – 09/2017
B. Sc. Medical Engineering, Universität Lübeck
Projects
2020
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Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis
(Third Party Funds Single)
Term: April 1, 2020 - September 30, 2022
Funding source: Bundesministerium für Bildung und Forschung (BMBF)MASCARA zielt auf eine detaillierte, molekulare Charakterisierung der Remission bei Arthritis ab. Das Projekt basiert auf der kombinierten klinischen und technischen Erfahrung von Rheumatologen, Radiologen, Medizinphysikern, Nuklearmedizinern, Gastroenterologen, grundlagenwissenschaftlichen Biologen und Informatikern und verbindet fünf akademische Fachzentren in Deutschland. Das Projekt adressiert 1) den Umstand der zunehmenden Zahl von Arthritis Patienten in Remission, 2) die Herausforderungen, eine effektive Unterdrückung der Entzündung von einer Heilung zu unterscheiden und 3) das begrenzte Wissen über die Gewebeveränderungen in den Gelenken von Patienten mit Arthritis. MASCARA wird auf der Grundlage vorläufiger Daten vier wichtige mechanistische Bereiche (immunstoffwechselbedingte Veränderungen, mesenchymale Gewebereaktionen, residente Immunzellen und Schutzfunktion des Darms) untersuchen, die gemeinsam den molekularen Zustand der Remission bestimmen. Das Projekt zielt auf die Sammlung von Synovialbiopsien und die anschließende Gewebeanalyse bei Patienten mit aktiver Arthritis und Patienten in Remission ab. Die Gewebeanalysen umfassen (Einzelzell)-mRNA-Sequenzierung, Massenzytometrie sowie die Messung von Immunmetaboliten und werden durch molekulare Bildgebungsverfahren wie CEST-MRT und FAPI-PET ergänzt. Sämtliche Daten, die in dem Vorhaben generiert werden, werden in einem bereits bestehenden Datenbanksystem mit den Daten der anderen Partner zusammengeführt und gespeichert. Das Zusammenführen der Daten soll – mit Hilfe von maschinellem Lernen – krankheitsspezifische und mit der Krankheitsaktivität verbundene Mustermatrizen identifizieren.
Publications
2024
Journal Articles
Detection of femoropopliteal arterial steno-occlusion at MR angiography: initial experience with artificial intelligence
In: European Radiology Experimental 8 (2024), Article No.: 30
ISSN: 2509-9280
DOI: 10.1186/s41747-024-00433-5
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Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model
In: Scientific Reports 14 (2024), Article No.: 6391
ISSN: 2045-2322
DOI: 10.1038/s41598-024-56853-1
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A gradient-based approach to fast and accurate head motion compensation in cone-beam CT
In: IEEE Transactions on Medical Imaging (2024), p. 1-1
ISSN: 0278-0062
DOI: 10.1109/TMI.2024.3474250
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Conference Contributions
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Cham: 2024
DOI: 10.1007/978-3-031-72104-5_25
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Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_12
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T2 Distribution Analysis of Inflamed Bone Marrow Compartments in MR Images with Quantitative T2-mapping
2024 ISMRM & ISMRT Annual Meeting & Exhibition (Singapore, May 4, 2024 - May 9, 2024)
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2023
Journal Articles
Gradient-based geometry learning for fan-beam CT reconstruction
In: Physics in Medicine and Biology 68 (2023), Article No.: 205004
ISSN: 0031-9155
DOI: 10.1088/1361-6560/acf90e
URL: https://iopscience.iop.org/article/10.1088/1361-6560/acf90e
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Imaging in inflammatory arthritis: progress towards precision medicine
In: Nature Reviews Rheumatology 19 (2023), p. 650-665
ISSN: 1759-4790
DOI: 10.1038/s41584-023-01016-1
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Author Correction: DeepNAPSI multi-reader nail psoriasis prediction using deep learning.
In: Scientific Reports 13 (2023)
ISSN: 2045-2322
DOI: 10.1038/s41598-023-37790-x
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Image quality assessment using deep learning in high b-value diffusion-weighted breast MRI.
In: Scientific Reports 13 (2023)
ISSN: 2045-2322
DOI: 10.1038/s41598-023-37342-3
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Smart forecasting of artifacts in contrast-enhanced breast MRI before contrast agent administration
In: European Radiology (2023)
ISSN: 0938-7994
DOI: 10.1007/s00330-023-10469-7
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Book Contributions
DeepNAPSI multi-reader nail psoriasis prediction using deep learning
In: Nature Scientific Reports, 2023, p. 5329
DOI: 10.1038/s41598-023-32440-8
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Conference Contributions
Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging
European Molecular Imaging Meeting (EMIM) (Salzburg, March 14, 2023 - March 17, 2023)
Open Access: https://www.eventclass.org/contxt_emim2023/online-program/session?s=PW15#e685
URL: https://www.eventclass.org/contxt_emim2023/online-program/session?s=PW15#e685
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Deepnapsi: Deep Learning for Nail Psoriasis Prediction
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230472
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Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, July 2, 2023 - July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_60
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Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (Cartagena, Colombia, April 18, 2023 - April 21, 2023)
In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023
DOI: 10.1109/ISBI53787.2023.10230346
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Whole-Body Multi-Organ Segmentation Using Anatomical Attention
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, COL, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230529
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2022
Journal Articles
Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast
In: European Radiology (2022)
ISSN: 0938-7994
DOI: 10.1007/s00330-022-08626-5
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Advanced neural networks for classification of MRI in psoriatic arthritis, seronegative, and seropositive rheumatoid arthritis
In: Rheumatology (2022)
ISSN: 1462-0324
DOI: 10.1093/rheumatology/keac197
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Deep Learning-Based Classification of Inflammatory Arthritis by Identification of Joint Shape Patterns—How Neural Networks Can Tell Us Where to “Deep Dive” Clinically
In: Frontiers in Medicine 9 (2022)
ISSN: 2296-858X
DOI: 10.3389/fmed.2022.850552
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Book Contributions
Multi-organ Segmentation with Partially Annotated Datasets
In: Bildverarbeitung für die Medizin 2022, Wiesbaden: Springer Vieweg, 2022, p. 216-221
ISBN: 9783658369316
DOI: 10.1007/978-3-658-36932-3_46
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Towards Super-resolution CEST MRI for Visualization of Small Structures
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, ThomasTolxdorff (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: Springer Vieweg, 2022, p. 210-215 (Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26–28, 2022)
ISBN: 978-3-658-36932-3
DOI: 10.1007/978-3-658-36932-3_45
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Conference Contributions
Neural Networks for Distinguishing Rheumatoid Arthritis from Psoriatic Arthritis by Using Magnetic Resonance Imaging
ACR Convergence 2022 (Philadelphia, PA, November 10, 2022 - November 14, 2022)
In: Arthritis Rheumatol. 2022
Open Access: https://acrabstracts.org/abstract/neural-networks-for-distinguishing-rheumatoid-arthritis-from-psoriatic-arthritis-by-using-magnetic-resonance-imaging/
URL: https://acrabstracts.org/abstract/neural-networks-for-distinguishing-rheumatoid-arthritis-from-psoriatic-arthritis-by-using-magnetic-resonance-imaging/
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Automated Bone Density Measurements using Deep Learning
QMSKI (Nordwijk, June 12, 2022 - June 17, 2022)
In: Bert van Rietbergen, Harry van Lenthe, Quentin Grimal (ed.): 23 2022
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CLASSIFICATION OF PSORIATIC ARTHRITIS, SERONEGATIVE RHEUMATOID ARTHRITIS, AND SEROPOSITIVE RHEUMATOID ARTHRITIS USING DEEP LEARNING ON MAGNETIC RESONANCE IMAGING
EULAR Congress (Kopenhagen, June 1, 2022 - June 4, 2022)
In: Prof Josef Smolen (ed.): Supplement 1 2022
DOI: 10.1136/annrheumdis-2022-eular.966
URL: https://ard.bmj.com/content/81/Suppl_1/194.2
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Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations
7th International Conference on Image Formation in X-Ray Computed Tomography (Baltimore, June 12, 2022 - June 16, 2022)
In: Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230409 (2022) 2022
DOI: 10.1117/12.2646442
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Super-Resolution for CEST MRI
Joint annual meeting ISMRM-ESMRMB ISMRT (London, England, May 7, 2022 - May 12, 2022)
URL: https://submissions.mirasmart.com/ISMRM2022/itinerary/PresentationDetail.aspx?evdid=3032
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2021
Journal Articles
Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density
In: Scientific Reports 11 (2021), p. 9697
ISSN: 2045-2322
DOI: 10.1038/s41598-021-89111-9
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Conference Contributions
Differential diagnosis of RA and PsA using neural networks on 3D bone shape of finger joints
EULAR 2021 Congress (Paris, June 2, 2021 - June 5, 2021)
In: Annals of the Rheumatic Diseases 2021 2021
DOI: 10.1136/annrheumdis-2021-eular.383
URL: https://ard.bmj.com/content/80/Suppl_1/86
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2019
Conference Contributions
Dilated deeply supervised networks for hippocampus segmentation in MRI
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_18
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Student thesis and projects
Interactive demo of some research projects