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Bieder, F. et al. (2025) ‘Modeling the Neonatal Brain Development Using Implicit Neural Representations’, in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland (Lecture Notes in Computer Science), pp. 1–11. Available at: https://doi.org/10.1007/978-3-031-74561-4_1.
Friedrich, P. et al. (2025) ‘WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis’, in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland (Lecture Notes in Computer Science), pp. 11–21. Available at: https://doi.org/10.1007/978-3-031-72744-3_2.
Basler, S. et al. (2024) ‘Molecular breath profile of acute COPD exacerbations’, Journal of Breath Research [Preprint]. Available at: https://doi.org/10.1088/1752-7163/ad9ac4.
Schicklin, C. et al. (2024) ‘Method to Generate Chlorine Dioxide Gas In Situ for Sterilization of Automated Incubators’, Pathogens, 13(11), p. 1024. Available at: https://doi.org/10.3390/pathogens13111024.
Zeng, J. et al. (2024) ‘Pharmacometabolomics via real-time breath analysis captures metabotypes of asthmatic children associated with salbutamol responsiveness’, iScience, p. 111446. Available at: https://doi.org/10.1016/j.isci.2024.111446.
Paul Friedrich, Yannik Frisch and Philippe C. Cattin (2024) ‘Deep Generative Models for 3D Medical Image Synthesis’. Available at: https://doi.org/10.48550/ARXIV.2410.17664.
Orso Pusterla et al. (2024) ‘An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung’, Zeitschrift für Medizinische Physik [Preprint]. Available at: https://doi.org/10.1016/j.zemedi.2024.08.001.
Valmaggia, P. et al. (2024) ‘Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2024.07.15.24310387.
Valmaggia, P. et al. (2024) ‘Time-Resolved Dynamic Optical Coherence Tomography for Retinal Blood Flow Analysis’, Investigative Ophthalmology and Visual Science, 65(6). Available at: https://doi.org/10.1167/iovs.65.6.9.
Künstle, Noëmi et al. (2024) ‘Differences in autophagy marker levels at birth in preterm vs. term infants’, Pediatric Research [Preprint]. 29.05.2024. Available at: https://doi.org/10.1038/s41390-024-03273-6.
Taha-Mehlitz, Stephanie et al. (2024) ‘Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study’, Surgical Endoscopy [Preprint]. Available at: https://doi.org/10.1007/s00464-024-10926-4.
Nahhas, M.K. et al. (2024) ‘Reviewing the potential of hearables for the assessment of bruxism Litareturrecherche zur Eignung von Hearables für die Erkennung von Bruxismus’, At-Automatisierungstechnik, 72(5), pp. 389–398. Available at: https://doi.org/10.1515/auto-2024-0029.
Ochs, Vincent et al. (2024) ‘An analysis of virtual reality in abdominal surgery—A scoping review’, The International Journal of Medical Robotics and Computer Assisted Surgery, 20(1). Available at: https://doi.org/10.1002/rcs.2623.
Kunz, Julia Madlaina et al. (2024) ‘Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging’, International Journal of Computer Assisted Radiology and Surgery, 19(9), pp. 1677–1687. Available at: https://doi.org/10.1007/s11548-023-03048-0.
Cagol, Alessandro et al. (2024) ‘Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS’, Neurology, 102(1). Available at: https://doi.org/10.1212/wnl.0000000000207768.
Cagol, Alessandro et al. (2024) ‘Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS’, Neurology, 102(1). Available at: https://doi.org/10.1212/wnl.0000000000207768.
Awchi, Mo et al. (2024) ‘Metabolic trajectories of diabetic ketoacidosis onset described by breath analysis’, Frontiers in Endocrinology, 15. Available at: https://doi.org/10.3389/fendo.2024.1360989.
Cathomas, Marionna et al. (2024) ‘Safety and effectivity of Kono-S anastomosis in Crohn’s patients: a systematic review and Meta-analysis’, Langenbeck’s Archives of Surgery, 409(1). Available at: https://doi.org/10.1007/s00423-024-03412-x.
Cathomas, Marionna et al. (2024) ‘Adherence to enhanced recovery after surgery (ERAS) in older adults following colorectal resection’, Journal of Geriatric Oncology. 12.09.2024, 15(8). Available at: https://doi.org/10.1016/j.jgo.2024.102062.
de Vente, Coen et al. (2024) ‘Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report’, Translational Vision Science and Technology, 13. Available at: https://doi.org/10.1167/tvst.13.9.11.
Fasel, L. et al. (2024) ‘Antagonistic Series Elastic Actuation for a Variable Stiffness Robotic Endoscope’, IEEE/ASME Transactions on Mechatronics, pp. 1–11. Available at: https://doi.org/10.1109/tmech.2024.3484583.
Fröhlich, Jacqueline et al. (2024) ‘Factors Associated With Ocular Perfusion Measurements as Obtained With Laser Speckle Contrast Imaging’, Translational vision science & technology, 13, p. 8. Available at: https://doi.org/10.1167/tvst.13.11.8.
Maloca, Peter M. et al. (2024) ‘Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation’, Journal of Biophotonics, 17. Available at: https://doi.org/10.1002/jbio.202300274.
Ochs, Vincent et al. (2024) ‘An analysis of virtual reality in abdominal surgery—A scoping review’, International Journal of Medical Robotics and Computer Assisted Surgery, 20(1). Available at: https://doi.org/10.1002/rcs.2623.
Ochs, Vincent et al. (2024) ‘Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study’, Surgery for Obesity and Related Diseases [Preprint]. Available at: https://doi.org/10.1016/j.soard.2024.06.012.
Prétot, Dominique et al. (2024) ‘Retinal oxygen metabolic function in choroideremia and retinitis pigmentosa’, Graefe’s Archive for Clinical and Experimental Ophthalmology [Preprint]. Available at: https://doi.org/10.1007/s00417-024-06659-8.
Sola-Martínez, R.A. et al. (2024) ‘Preservation of exhaled breath samples for analysis by off-line SESI-HRMS: proof-of-concept study’, Journal of Breath Research, 18(1). Available at: https://doi.org/10.1088/1752-7163/ad10e1.
Stritt, Kevin et al. (2024) ‘Risk factors for asymptomatic kidney stone passage in adults with recurrent kidney stones’, Clinical Journal of the American Society of Nephrology [Preprint]. Available at: https://doi.org/10.2215/CJN.0000000000000496.
Taha-Mehlitz, Stephanie et al. (2024) ‘Is pain control for chronic neuropathic pain after inguinal hernia repair using endoscopic retroperitoneal neurectomy effective? A meta-analysis of 142 patients from 1995 to 2022’, Langenbeck’s Archives of Surgery, 408. Available at: https://doi.org/10.1007/s00423-022-02748-6.
Taha-Mehlitz, Stephanie et al. (2024) ‘Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study’, Surgical Endoscopy [Preprint]. Available at: https://doi.org/10.1007/s00464-024-10926-4.
von Niederhäusern, P.A. et al. (2024) ‘Augmented reality for sentinel lymph node biopsy’, International Journal of Computer Assisted Radiology and Surgery, 19, pp. 171–180. Available at: https://doi.org/10.1007/s11548-023-03014-w.
Wolleb, Julia et al. (2024) ‘Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection’, in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland (Lecture Notes in Computer Science), pp. 135–145. Available at: https://doi.org/10.1007/978-3-031-72120-5_13.
Valmaggia, P. et al. (2023) Time-resolved dynamic optical coherence tomography for retinal blood flow analysis. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2023.10.31.23297800.
Roodsari, S.M. et al. (2023) Deep-learning-based high spatial resolution fiber shape sensing. Research Square Platform LLC. Available at: https://doi.org/10.21203/rs.3.rs-2573095/v1.
Tsagkas, Charidimos et al. (2023) ‘Anterior horn atrophy in the cervical spinal cord: A new biomarker in progressive multiple sclerosis’, Multiple Sclerosis Journal, 29(6), pp. 702–718. Available at: https://doi.org/10.1177/13524585221139152.
Awchi M et al. (2023) ‘UHPLC-MS/MS-Based Identity Confirmation of Amino Acids Involved in Response to and Side Effects from Antiseizure Medications.’, Journal of proteome research, 22(3), pp. 990–995. Available at: https://doi.org/10.1021/acs.jproteome.2c00835.
Enodien B et al. (2023) ‘Gastrointestinal Stromal Tumor (GIST): A Remarkable Case Report and Literature Review.’, 15(3). Available at: https://doi.org/10.7759/cureus.35931.
Tsagkas C et al. (2023) ‘Longitudinal assessment of cervical spinal cord compartments in multiple sclerosis’, Multiple Sclerosis and Related Disorders, 71, p. 104545. Available at: https://doi.org/10.1016/j.msard.2023.104545.
Tsagkas C et al. (2023) ‘Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.’, AJNR. American journal of neuroradiology, 44(2), pp. 218–227. Available at: https://doi.org/10.3174/ajnr.a7756.
Tsagkas, C. et al. (2023) ‘Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis’, American Journal of Neuroradiology, 44(2), pp. 218–227. Available at: https://doi.org/10.3174/ajnr.a7756.
Ansari, Georg et al. (2023) ‘The Optical Coherence Tomography and Microperimetry Biomarker Evaluation in Patients with Geographic Atrophy (OMEGA) Study: Design and Baseline Characteristics - OMEGA Report 1’, Ophthalmic Research, 66, pp. 1392–1401. Available at: https://doi.org/10.1159/000535375.
Arnold, Kim et al. (2023) ‘Real-Time Volatile Metabolomics Analysis of Dendritic Cells’, Analytical Chemistry, 95, pp. 9415–9421. Available at: https://doi.org/10.1021/acs.analchem.3c00516.
Awchi, M. et al. (2023) ‘Prediction of systemic free and total valproic acid by off-line analysis of exhaled breath in epileptic children and adolescents’, Journal of Breath Research, 17. Available at: https://doi.org/10.1088/1752-7163/acf782.
Bayhaqi, Y.A. et al. (2023) ‘Real-time closed-loop tissue-specific laser osteotomy using deep-learning-assisted optical coherence tomography’, Biomedical Optics Express, 14, pp. 2986–3002. Available at: https://doi.org/10.1364/boe.486660.
Bieder, Florentin et al. (2023) ‘Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing’, in Ipek Oguz, Jack Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heinmann, Despina Kontos, Bennett Landman, Benoit Dawant (ed.) Medical Imaging with Deep Learning. Nashville, TN (Medical Imaging with Deep Learning). Available at: https://proceedings.mlr.press/v227/bieder24a.html.
Cetin, Cigdem et al. (2023) ‘Bone ablation performance of a Tm-Cr-Ho:YAG Laser’. Available at: https://doi.org/10.1117/12.2647703.
de Bruijne, M. et al. (2023) ‘Editorial for the MEDIA MICCAI special issue 2021’, Medical Image Analysis, 83. Available at: https://doi.org/10.1016/j.media.2022.102695.
Denk, Nora et al. (2023) ‘Cynomolgus monkey’s retina volume reference database based on hybrid deep learning optical coherence tomography segmentation’, Scientific Reports, 13. Available at: https://doi.org/10.1038/s41598-023-32739-6.
Enodien, Bassey et al. (2023) ‘The development of machine learning in bariatric surgery’, Frontiers in Surgery, 10, p. 1102711. Available at: https://doi.org/10.3389/fsurg.2023.1102711.
Enodien B et al. (2023) ‘Corrigendum: The development of machine learning in bariatric surgery.’, 10. Available at: https://doi.org/10.3389/fsurg.2023.1186466.
Fiorito M. et al. (2023) ‘Fast, interleaved, Look-Locker–based T1 mapping with a variable averaging approach: Towards temperature mapping at low magnetic field’, NMR in Biomedicine, 36(1). Available at: https://doi.org/10.1002/nbm.4826.
Friedrich, P. et al. (2023) ‘Point Cloud Diffusion Models for Automatic Implant Generation’, in 26th International Conference on Medical Image Computing and Computer Assisted Interventions. Vancouver, Canada (26th International Conference on Medical Image Computing and Computer Assisted Interventions), pp. 112–122. Available at: https://doi.org/10.1007/978-3-031-43996-4_11.
Hamidi, A. et al. (2023) ‘Towards phase-sensitive optical coherence tomography in smart laser osteotomy: temperature feedback’, Lasers in Medical Science, 38. Available at: https://doi.org/10.1007/s10103-023-03886-z.
Hamidi, A. et al. (2023) ‘Multimodal feedback systems for smart laser osteotomy: Depth control and tissue differentiation’, Lasers in Surgery and Medicine, 55, pp. 900–911. Available at: https://doi.org/10.1002/lsm.23732.
Hamidi, A. et al. (2023) ‘Towards miniaturized OCT-guided laser osteotomy: integration of fiber-coupled Er:YAG laser with OCT’, OSA Continuum, 2, pp. 2106–2115. Available at: https://doi.org/10.1364/optcon.497483.
Karnam, Murali et al. (2023) ‘Qualitative and quantitative assessment of admittance controllers for hand-guiding surgical robots’, At-Automatisierungstechnik, 71, pp. 515–527. Available at: https://doi.org/10.1515/auto-2023-0063.
Karnam, Murali et al. (2023) ‘Workspace-aware Planning of a Surgical Robot Mounting in Virtual Reality’, pp. 13–19. Available at: https://doi.org/10.1007/978-3-031-32446-8_2.
Maintz, Michaela et al. (2023) ‘Parameter optimization in a finite element mandibular fracture fixation model using the design of experiments approach’, Journal of the Mechanical Behavior of Biomedical Materials, 144. Available at: https://doi.org/10.1016/j.jmbbm.2023.105948.
Maloca, Peter M. et al. (2023) ‘Validation of collaborative cyberspace virtual reality oculometry enhanced with near real-time spatial audio’, Scientific Reports, 13. Available at: https://doi.org/10.1038/s41598-023-37267-x.
Manavi Roodsari, Samaneh et al. (2023) ‘Shape sensing of optical fiber Bragg gratings based on deep learning’, Machine Learning: Science and Technology, 4. Available at: https://doi.org/10.1088/2632-2153/acda10.
Ochs, Vincent et al. (2023) ‘Development and validation of a predictive model of the hospital cost associated with bariatric surgery’, Obesity Research and Clinical Practice, 17, pp. 529–535. Available at: https://doi.org/10.1016/j.orcp.2023.10.003.
Roodsari, Samaneh Manavi et al. (2023) ‘Fiber Optic Shape Sensing Based on Eccentric FBGs and Deep Learning’, in Optica Sensing Congress. Washington, D.C.: Optica Publishing Group (Optica Sensing Congress). Available at: https://doi.org/10.1364/sensors.2023.sw4d.2.
Saad, Baraa et al. (2023) ‘Safety and efficacy of LA-ERCP procedure following Roux-en-Y gastric bypass: a systematic review and meta-analysis’, Surgical Endoscopy, 37(9), pp. 6682–6694. Available at: https://doi.org/10.1007/s00464-023-10276-7.
Schnider, Eva et al. (2023) ‘Improved distinct bone segmentation in upper-body CT through multi-resolution networks’, International Journal of Computer Assisted Radiology and Surgery, 18, pp. 2091–2099. Available at: https://doi.org/10.1007/s11548-023-02957-4.
Taha, Anas et al. (2023) ‘Analysis of artificial intelligence in thyroid diagnostics and surgery: A scoping review’, American Journal of Surgery, null. Available at: https://doi.org/10.1016/j.amjsurg.2023.11.019.
Taha, Anas et al. (2023) ‘Robotic colorectal surgery: quality assessment of patient information available on the internet using webscraping’, Computer Assisted Surgery, 28. Available at: https://doi.org/10.1080/24699322.2023.2187275.
Taha, Anas et al. (2023) ‘Second Primary Cancer among Patients with Papillary Thyroid Carcinoma Following the Chernobyl Disaster’, JAMA Network Open. 17.08.2023, 6(8). Available at: https://doi.org/10.1001/jamanetworkopen.2023.29559.
Taha, Anas et al. (2023) ‘Machine learning in pancreas surgery, what is new? literature review’, Frontiers in Surgery, 10. Available at: https://doi.org/10.3389/fsurg.2023.1142585.
Tomooka, Yukiko et al. (2023) ‘Disturbance Propagation Mitigation Between a Deployable Miniature Surgical Robot and Its Insertion Device’, pp. 800–809. Available at: https://doi.org/10.1007/978-3-031-45770-8_79.
Tomooka, Yukiko et al. (2023) ‘Minimal invasives in-situ Bioprinting mittels schlauchbasiertem Materialtransport’, At-Automatisierungstechnik, 71, pp. 562–571. Available at: https://doi.org/10.1515/auto-2023-0060.
Tsagkas, Charidimos et al. (2023) ‘Anterior horn atrophy in the cervical spinal cord: A new biomarker in progressive multiple sclerosis’, Multiple Sclerosis Journal, 29, pp. 702–718. Available at: https://doi.org/10.1177/13524585221139152.
Żelechowski, M. et al. (2023) ‘Automatic patient positioning based on robot rotational workspace for extended reality’, International Journal of Computer Assisted Radiology and Surgery, 18, pp. 1951–1959. Available at: https://doi.org/10.1007/s11548-023-02967-2.
Gisler A. et al. (2022) ‘An interoperability framework for multicentric breath metabolomic studies’, iScience, 25(12). Available at: https://doi.org/10.1016/j.isci.2022.105557.
Gisler, Amanda et al. (2022) ‘An interoperability framework for multicentric breath metabolomic studies’, iScience, 25(12), p. 105557. Available at: https://doi.org/10.1016/j.isci.2022.105557.
Schnider E. et al. (2022) ‘Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference.’, International Journal of Computer Assisted Radiology and Surgery, 17(11), pp. 2113–2120. Available at: https://doi.org/10.1007/s11548-022-02650-y.
Gomez-Mejia A. et al. (2022) ‘Rapid detection of Staphylococcus aureus and Streptococcus pneumoniae by real-time analysis of volatile metabolites’, iScience, 25(10). Available at: https://doi.org/10.1016/j.isci.2022.105080.
Bayhaqi Y.A. et al. (2022) ‘Deep-Learning-Based Fast Optical Coherence Tomography (OCT) Image Denoising for Smart Laser Osteotomy’, IEEE Transactions on Medical Imaging, 41(10), pp. 2615–2628. Available at: https://doi.org/10.1109/tmi.2022.3168793.
Enodien B et al. (2022) ‘Cost and Quality Comparison of Hernia Surgery in Stationary, Day-Patient and Outpatient Care.’, International journal of environmental research and public health, 19(19). Available at: https://doi.org/10.3390/ijerph191912410.
Valmaggia, P. et al. (2022) ‘Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning’, Translational Vision Science & Technology, 11(9), p. 25. Available at: https://doi.org/10.1167/tvst.11.9.25.
Frass-Kriegl R. et al. (2022) ‘Editorial: Innovations in MR hardware from ultra-low to ultra-high field’, Frontiers in Physics, 10. Available at: https://doi.org/10.3389/fphy.2022.1015289.
Maloca PM et al. (2022) ‘Dynamic volume-rendered optical coherence tomography pupillometry.’, Acta ophthalmologica, 100(6), pp. 654–664. Available at: https://doi.org/10.1111/aos.15063.
Valmaggia P et al. (2022) ‘Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning.’, Translational vision science & technology, 11(9), p. 25. Available at: https://doi.org/10.1167/tvst.11.9.25.
Taha A et al. (2022) ‘Suprapubic Cholecystectomy Improves Cosmetic Outcome Compared to Classic Cholecystectomy.’, Journal of clinical medicine, 11(15). Available at: https://doi.org/10.3390/jcm11154579.
Maloca PM et al. (2022) ‘Cynomolgus monkey’s choroid reference database derived from hybrid deep learning optical coherence tomography segmentation.’, Scientific reports, 12(1), p. 13276. Available at: https://doi.org/10.1038/s41598-022-17699-7.
Cetin C. et al. (2022) ‘Bone ablation using a Ho:YAG laser’. Walter de Gruyter GmbH, pp. 580–583. Available at: https://doi.org/10.1515/cdbme-2022-1148.
Enodien B et al. (2022) ‘The Effects of Anastomotic Leaks on the Net Revenue from Colon Surgery.’, International journal of environmental research and public health, 19(15). Available at: https://doi.org/10.3390/ijerph19159426.
Eugster M. et al. (2022) ‘Robotic Endoscope System for Future Application in Minimally Invasive Laser Osteotomy: First Concept Evaluation’, IEEE Transactions on Medical Robotics and Bionics, 4(3), pp. 621–633. Available at: https://doi.org/10.1109/tmrb.2022.3172471.
Karnam M. et al. (2022) ‘Augmented Reality for 6-DoF Motion Recording, Preview, and Execution to Enable Intuitive Surgical Robot Control’, Current Directions in Biomedical Engineering, 8(2), pp. 225–228. Available at: https://doi.org/10.1515/cdbme-2022-1058.
Manavi Roodsari S. et al. (2022) ‘Fabrication and Characterization of a Flexible FBG-Based Shape Sensor Using Single-Mode Fibers’, IEEE Transactions on Biomedical Engineering, 69(8), pp. 2488–2498. Available at: https://doi.org/10.1109/tbme.2022.3148040.
Spaide RF, Valmaggia P and Maloca PM (2022) ‘IMAGING THE VITREOUS WITH A NOVEL BOOSTED OPTICAL COHERENCE TOMOGRAPHY TECHNIQUE: Posterior Vitreous Detachment.’, Retina (Philadelphia, Pa.), 42(8), pp. 1425–1432. Available at: https://doi.org/10.1097/iae.0000000000003500.
Spaide RF et al. (2022) ‘IMAGING THE VITREOUS WITH A NOVEL BOOSTED OPTICAL COHERENCE TOMOGRAPHY TECHNIQUE: Vitreous Degeneration and Cisterns.’, Retina (Philadelphia, Pa.), 42(8), pp. 1433–1441. Available at: https://doi.org/10.1097/iae.0000000000003474.
Fasel L. et al. (2022) ‘Control Evaluation of Antagonistic Series Elastic Actuation for a Robotic Endoscope Joint’, Journal of Bionic Engineering, 19(4), pp. 965–974. Available at: https://doi.org/10.1007/s42235-022-00180-6.
Tomooka Y. et al. (2022) ‘Bending stiffness variability between a deployable robotic laser osteotome and its insertion device’, Current Directions in Biomedical Engineering, 8(1), pp. 138–141. Available at: https://doi.org/10.1515/cdbme-2022-0035.
Arnold K. et al. (2022) ‘In vivo detection of metabolic 2H-incorporation upon ingestion of 2H2O’, Journal of Bio-X Research, 5(2), pp. 81–89. Available at: https://doi.org/10.1097/jbr.0000000000000121.
Julia Wolleb et al. (2022) ‘Diffusion Models for Implicit Image Segmentation Ensembles’, in MIDL 2022. Zurich (MIDL 2022). Available at: https://openreview.net/forum?id=QNLR05X6uW.
Duetschler A et al. (2022) ‘Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations’, Medical Physics, 49(5), pp. 2890–2903. Available at: https://doi.org/10.1002/mp.15591.
Müller, Jannis et al. (2022) ‘Choroid Plexus Volume in Multiple Sclerosis vs Neuromyelitis Optica Spectrum Disorder’, Neurology Neuroimmunology & Neuroinflammation, 9(3). Available at: https://doi.org/10.1212/nxi.0000000000001147.
Müller J et al. (2022) ‘Choroid Plexus Volume in Multiple Sclerosis vs Neuromyelitis Optica Spectrum Disorder: A Retrospective, Cross-sectional Analysis.’, Neurology(R) neuroimmunology & neuroinflammation, 9(3). Available at: https://doi.org/10.1212/nxi.0000000000001147.
Wendebourg MJ et al. (2022) ‘Spinal cord gray matter atrophy is associated with functional decline in post-polio syndrome.’, European journal of neurology, 29(5), pp. 1435–1445. Available at: https://doi.org/10.1111/ene.15261.
Taha-Mehlitz S et al. (2022) ‘Modern Machine Learning Practices in Colorectal Surgery: A Scoping Review.’, Journal of clinical medicine, 11(9). Available at: https://doi.org/10.3390/jcm11092431.