L. Canalini, J. Klein, D. Waldmannstetter, F. Kofler, S. Cerri, A. Hering, S. Heldmann, S. Schlaeger, B. Menze, B. Wiestler, J. Kirschke and H. Hahn, "Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment",
Frontiers in Neuroimaging,
2022;1.
P. Bilic, P. Christ, H. Li, E. Vorontsov, A. Ben-Cohen, G. Kaissis, A. Szeskin, C. Jacobs, G. Mamani, G. Chartrand, F. Lohofer, J. Holch, W. Sommer, F. Hofmann, A. Hostettler, N. Lev-Cohain, M. Drozdzal, M. Amitai, R. Vivanti, J. Sosna, I. Ezhov, A. Sekuboyina, F. Navarro, F. Kofler, J. Paetzold, S. Shit, X. Hu, J. Lipkova, M. Rempfler, M. Piraud, J. Kirschke, B. Wiestler, Z. Zhang, C. Hulsemeyer, M. Beetz, F. Ettlinger, M. Antonelli, W. Bae, M. Bellver, L. Bi, H. Chen, G. Chlebus, E. Dam, Q. Dou, C. Fu, B. Georgescu, X. Giro-i-Nieto, F. Gruen, X. Han, P. Heng, J. Hesser, J. Moltz, C. Igel, F. Isensee, P. Jager, F. Jia, K. Kaluva, M. Khened, I. Kim, J. Kim, S. Kim, S. Kohl, T. Konopczynski, A. Kori, G. Krishnamurthi, F. Li, H. Li, J. Li, X. Li, J. Lowengrub, J. Ma, K. Maier-Hein, K. Maninis, H. Meine, D. Merhof, A. Pai, M. Perslev, J. Petersen, J. Pont-Tuset, J. Qi, X. Qi, O. Rippel, K. Roth, I. Sarasua, A. Schenk, Z. Shen, J. Torres, C. Wachinger, C. Wang, L. Weninger, J. Wu, D. Xu, X. Yang, S. Yu, Y. Yuan, M. Yue, L. Zhang, J. Cardoso, S. Bakas, R. Braren, V. Heinemann, C. Pal, A. Tang, S. Kadoury, L. Soler, B. van Ginneken, H. Greenspan, L. Joskowicz and B. Menze, "The Liver Tumor Segmentation Benchmark (LiTS)",
Medical Image Analysis,
2022;84:102680.
M. Aubreville, N. Stathonikos, C. Bertram, R. Klopfleisch, N. Ter Hoeve, F. Ciompi, F. Wilm, C. Marzahl, T. Donovan, A. Maier, J. Breen, N. Ravikumar, Y. Chung, J. Park, R. Nateghi, F. Pourakpour, R. Fick, S. Ben Hadj, M. Jahanifar, A. Shephard, J. Dexl, T. Wittenberg, S. Kondo, M. Lafarge, V. Koelzer, J. Liang, Y. Wang, X. Long, J. Liu, S. Razavi, A. Khademi, S. Yang, X. Wang, R. Erber, A. Klang, K. Lipnik, P. Bolfa, M. Dark, G. Wasinger, M. Veta and K. Breininger, "Mitosis domain generalization in histopathology images - The MIDOG challenge.",
Medical Image Analysis,
2022;84:102699.
L. Adams, M. Makowski, G. Engel, M. Rattunde, F. Busch, P. Asbach, S. Niehues, S. Vinayahalingam, B. van Ginneken, G. Litjens and K. Bressem, "Dataset of prostate MRI annotated for anatomical zones and cancer.",
Data in brief,
2022;45:108739.
S. Vinayahalingam, N. van Nistelrooij, B. van Ginneken, K. Bressem, D. Troltzsch, M. Heiland, T. Flugge and R. Gaudin, "Detection of mandibular fractures on panoramic radiographs using deep learning.",
Scientific reports,
2022;12(1):19596.
E. Calli, B. Van Ginneken, E. Sogancioglu and K. Murphy, "FRODO: An in-depth analysis of a system to reject outlier samples from a trained neural network.",
IEEE transactions on medical imaging,
2022;PP.
S. Jarkman, M. Karlberg, M. Poceviciute, A. Boden, P. Bandi, G. Litjens, C. Lundstrom, D. Treanor and J. van der Laak, "Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection.",
Cancers,
2022;14(21).
C. Mercan, M. Balkenhol, R. Salgado, M. Sherman, P. Vielh, W. Vreuls, A. Polonia, H. Horlings, W. Weichert, J. Carter, P. Bult, M. Christgen, C. Denkert, K. van de Vijver, J. Bokhorst, J. van der Laak and F. Ciompi, "Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer.",
NPJ breast cancer,
2022;8(1):120.
A. Pfob, C. Sidey-Gibbons, R. Barr, V. Duda, Z. Alwafai, C. Balleyguier, D. Clevert, S. Fastner, C. Gomez, M. Goncalo, I. Gruber, M. Hahn, A. Hennigs, P. Kapetas, S. Lu, J. Nees, R. Ohlinger, F. Riedel, M. Rutten, B. Schaefgen, A. Stieber, R. Togawa, M. Tozaki, S. Wojcinski, C. Xu, G. Rauch, J. Heil and M. Golatta, "Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): a retrospective, international, multicentre analysis",
European Journal of Cancer,
2022;177:1-14.
S. Marchesin, F. Giachelle, N. Marini, M. Atzori, S. Boytcheva, G. Buttafuoco, F. Ciompi, G. Di Nunzio, F. Fraggetta, O. Irrera, H. Muller, T. Primov, S. Vatrano and G. Silvello, "Empowering digital pathology applications through explainable knowledge extraction tools.",
Journal of pathology informatics,
2022;13:100139.
J. Nas, J. Thannhauser, P. Vart, R. van Geuns, H. Muijsers, J. Mol, G. Aarts, L. Konijnenberg, D. Gommans, S. Ahoud-Schoenmakers, J. Vos, N. van Royen, J. Bonnes and M. Brouwer, "The impact of alcohol use on the quality of cardiopulmonary resuscitation among festival attendees: A prespecified analysis of a randomised trial",
Resuscitation,
2022;181:12-19.
Z. Zhai, S. van Velzen, N. Lessmann, N. Planken, T. Leiner and I. Isgum, "Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation",
Frontiers in Cardiovascular Medicine,
2022;9.
H. Roth, Z. Xu, C. Tor-Díez, R. Sanchez Jacob, J. Zember, J. Molto, W. Li, S. Xu, B. Turkbey, E. Turkbey, D. Yang, A. Harouni, N. Rieke, S. Hu, F. Isensee, C. Tang, Q. Yu, J. Sölter, T. Zheng, V. Liauchuk, Z. Zhou, J. Moltz, B. Oliveira, Y. Xia, K. Maier-Hein, Q. Li, A. Husch, L. Zhang, V. Kovalev, L. Kang, A. Hering, J. Vilaça, M. Flores, D. Xu, B. Wood and M. Linguraru, "Rapid artificial intelligence solutions in a pandemic--The COVID-19-20 Lung CT Lesion Segmentation Challenge",
Medical Image Analysis,
2022;82:102605.
E. De Kort, J. Buil, S. Schalekamp, C. Schaefer-Prokop, P. Verweij, N. Schaap, N. Blijlevens and W. der Van Velden, "Invasive Fungal Disease in Patients with Myeloid Malignancies: A Retrospective Cohort Study of a Diagnostic-Driven Care Pathway Withholding Mould-Active Prophylaxis",
Journal of Fungi,
2022;8:925.
S. de Roo, J. Teunissen, M. Rutten and B. van der Heijden, "Tourniquet Does Not Affect Long-term Outcomes in Minor Hand Surgery: A Randomized Controlled Trial",
Plastic and Reconstructive Surgery - Global Open,
2022;10:e4495.
T. Eschert, F. Schwendicke, J. Krois, L. Bohner, S. Vinayahalingam and M. Hanisch, "A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery.",
Medicina (Kaunas, Lithuania),
2022;58(8).
B. Feher, U. Kuchler, F. Schwendicke, L. Schneider, J. de Grano Cejudo Oro, T. Xi, S. Vinayahalingam, T. Hsu, J. Brinz, A. Chaurasia, K. Dhingra, R. Gaudin, H. Mohammad-Rahimi, N. Pereira, F. Perez-Pastor, O. Tryfonos, S. Uribe, M. Hanisch and J. Krois, "Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning.",
Diagnostics (Basel, Switzerland),
2022;12(8).
N. Harlianto, J. Westerink, M. Hol, R. Wittenberg, W. Foppen, P. van der Veen, B. van Ginneken, J. Verlaan, P. de Jong, F. Mohamed Hoesein and UCC-SMART Study Group , "Patients with diffuse idiopathic skeletal hyperostosis have an increased burden of thoracic aortic calcifications",
Rheumatology Advances in Practice,
2022;6(2):rkac060.
N. Naik, B. Hameed, N. Sooriyaperakasam, S. Vinayahalingam, V. Patil, K. Smriti, J. Saxena, M. Shah, S. Ibrahim, A. Singh, H. Karimi, K. Naganathan, D. Shetty, B. Rai, P. Chlosta and B. Somani, "Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions.",
Frontiers in digital health,
2022;4:919985.
E. Munari, G. Querzoli, M. Brunelli, M. Marconi, M. Sommaggio, M. Cocchi, G. Martignoni, G. Netto, A. Calio, L. Quatrini, F. Mariotti, C. Luchini, I. Girolami, A. Eccher, D. Segala, F. Ciompi, G. Zamboni, L. Moretta and G. Bogina, "Comparison of three validated PD-L1 immunohistochemical assays in urothelial carcinoma of the bladder: interchangeability and issues related to patient selection.",
Frontiers in immunology,
2022;13:954910.
R. Vliegenthart, A. Fouras, C. Jacobs and N. Papanikolaou, "Innovations in thoracic imaging: CT, radiomics, AI and x-ray velocimetry",
Respirology,
2022;27(10):818-833.
J. Maertens, T. Lodewyck, J. Donnelly, S. Chantepie, C. Robin, N. Blijlevens, P. Turlure, D. Selleslag, F. Baron, M. Aoun, W. Heinz, H. Bertz, Z. Ráčil, B. Vandercam, L. Drgona, V. Coiteux, C. Llorente, C. Schaefer-Prokop, M. Paesmans, L. Ameye, L. Meert, K. Cheung, D. Hepler, J. Loeffler, R. Barnes, O. Marchetti, P. Verweij, F. Lamoth, P. Bochud, M. Schwarzinger, C. Cordonnier, F. the Group, T. of the for Research and T. of Cancer, "Empiric vs Preemptive Antifungal Strategy in High-Risk Neutropenic Patients on Fluconazole Prophylaxis: A Randomized Trial of the European Organization for Research and Treatment of Cancer",
Clinical Infectious Diseases,
2022;76:674-682.
E. Calli, K. Murphy, E. Scholten, S. Schalekamp and B. van Ginneken, "Explainable emphysema detection on chest radiographs with deep learning",
PLoS One,
2022;17(7):e0267539.
R. Samperna, N. Moriakov, N. Karssemeijer, J. Teuwen and R. Mann, "Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI",
Diagnostics,
2022;12:1690.
Y. Beauferris, J. Teuwen, D. Karkalousos, N. Moriakov, M. Caan, G. Yiasemis, L. Rodrigues, A. Lopes, H. Pedrini, L. Rittner, M. Dannecker, V. Studenyak, F. Gröger, D. Vyas, S. Faghih-Roohi, A. Kumar Jethi, J. Chandra Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne and R. Souza, "Multi-Coil MRI Reconstruction Challenge--Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations",
Frontiers in Neuroscience,
2022;16.
N. Marini, S. Marchesin, S. Otalora, M. Wodzinski, A. Caputo, M. van Rijthoven, W. Aswolinskiy, J. Bokhorst, D. Podareanu, E. Petters, S. Boytcheva, G. Buttafuoco, S. Vatrano, F. Fraggetta, J. van der Laak, M. Agosti, F. Ciompi, G. Silvello, H. Muller and M. Atzori, "Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.",
NPJ digital medicine,
2022;5(1):102.
M. Hermsen, F. Ciompi, A. Adefidipe, A. Denic, A. Dendooven, B. Smith, D. van Midden, J. Brasen, J. Kers, M. Stegall, P. Bándi, T. Nguyen, Z. Swiderska-Chadaj, B. Smeets, L. Hilbrands and J. van der Laak, "Convolutional neural networks for the evaluation of chronic and inflammatory lesions in kidney transplant biopsies",
American Journal of Pathology,
2022;192(10):1418-1432.
L. Adams, M. Makowski, G. Engel, M. Rattunde, F. Busch, P. Asbach, S. Niehues, S. Vinayahalingam, B. van Ginneken, G. Litjens and K. Bressem, "Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.",
Computers in biology and medicine,
2022;148:105817.
M. Antonelli, A. Reinke, S. Bakas, K. Farahani, A. Kopp-Schneider, B. Landman, G. Litjens, B. Menze, O. Ronneberger, R. Summers, B. van Ginneken, M. Bilello, P. Bilic, P. Christ, R. Do, M. Gollub, S. Heckers, H. Huisman, W. Jarnagin, M. McHugo, S. Napel, J. Pernicka, K. Rhode, C. Tobon-Gomez, E. Vorontsov, J. Meakin, S. Ourselin, M. Wiesenfarth, P. Arbelaez, B. Bae, S. Chen, L. Daza, J. Feng, B. He, F. Isensee, Y. Ji, F. Jia, I. Kim, K. Maier-Hein, D. Merhof, A. Pai, B. Park, M. Perslev, R. Rezaiifar, O. Rippel, I. Sarasua, W. Shen, J. Son, C. Wachinger, L. Wang, Y. Wang, Y. Xia, D. Xu, Z. Xu, Y. Zheng, A. Simpson, L. Maier-Hein and M. Cardoso, "The Medical Segmentation Decathlon",
Nature Communications,
2022;13(1):4128.
J. Ogony, T. de Bel, D. Radisky, J. Kachergus, E. Thompson, A. Degnim, K. Ruddy, T. Hilton, M. Stallings-Mann, C. Vachon, T. Hoskin, M. Heckman, R. Vierkant, L. White, R. Moore, J. Carter, M. Jensen, L. Pacheco-Spann, J. Henry, A. Storniolo, S. Winham, J. van der Laak and M. Sherman, "Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence",
Breast Cancer Research,
2022;24.
Q. Qin, D. Alsop, D. Bolar, L. Hernandez-Garcia, J. Meakin, D. Liu, K. Nayak, S. Schmid, M. van Osch, E. Wong, J. Woods, G. Zaharchuk, M. Zhao, Z. Zun, J. Guo and T. Group, "Velocity-selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation",
Magnetic Resonance in Medicine,
2022;88:1528-1547.
V. Bergshoeff, M. Balkenhol, A. Haesevoets, A. Ruland, M. Chenault, R. Nelissen, C. Peutz, R. Clarijs, J. der Van Laak, R. Takes, M. den Van Brekel, M. Van Velthuysen, F. Ramaekers, B. Kremer and E. Speel, "Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions",
Cancers,
2022;14:3260.
F. Peisen, A. Hänsch, A. Hering, A. Brendlin, S. Afat, K. Nikolaou, S. Gatidis, T. Eigentler, T. Amaral, J. Moltz and A. Othman, "Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy",
Cancers,
2022;14:2992.
H. Pinckaers, J. van Ipenburg, J. Melamed, A. De Marzo, E. Platz, B. van Ginneken, J. van der Laak and G. Litjens, "Predicting biochemical recurrence of prostate cancer with artificial intelligence",
Communications Medicine,
2022;2:64.
K. Koschmieder, M. Paul, T. van den Heuvel, A. van der Eerden, B. van Ginneken and R. Manniesing, "Automated detection of cerebral microbleeds via segmentation in susceptibility-weighted images of patients with traumatic brain injury",
NeuroImage: Clinical,
2022;35:103027.
J. Nas, J. Thannhauser, L. Konijnenberg, R. van Geuns, N. van Royen, J. Bonnes and M. Brouwer, "Long-term Effect of Face-to-Face vs Virtual Reality Cardiopulmonary Resuscitation (CPR) Training on Willingness to Perform CPR, Retention of Knowledge, and Dissemination of CPR Awareness",
JAMA Network Open,
2022;5:e2212964.
C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison",
IEEE Transactions on Artificial Intelligence,
2022;3(2):129-138.
R. Scheeringa, M. Bonnefond, T. van Mourik, O. Jensen, D. Norris and P. Koopmans, "Relating neural oscillations to laminar fMRI connectivity in visual cortex",
Cerebral Cortex,
2022;33:1537-1549.
M. Sherman, T. de Bel, M. Heckman, L. White, J. Ogony, M. Stallings-Mann, T. Hilton, A. Degnim, R. Vierkant, T. Hoskin, M. Jensen, L. Pacheco-Spann, J. Henry, A. Storniolo, J. Carter, S. Winham, D. Radisky and J. van der Laak, "Serum hormone levels and normal breast histology among premenopausal women",
Breast Cancer Research and Treatment,
2022;194:149-158.
I. Girolami, L. Pantanowitz, S. Marletta, M. Hermsen, J. van der Laak, E. Munari, L. Furian, F. Vistoli, G. Zaza, M. Cardillo, L. Gesualdo, G. Gambaro and A. Eccher, "Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.",
Journal of nephrology,
2022.
A. Lauritzen, A. Rodríguez-Ruiz, M. von Euler-Chelpin, E. Lynge, I. Vejborg, M. Nielsen, N. Karssemeijer and M. Lillholm, "An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload",
Radiology,
2022;304:41-49.
J. Bleker, T. Kwee, D. Rouw, C. Roest, J. Borstlap, I. de Jong, R. Dierckx, H. Huisman and D. Yakar, "A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics",
European Radiology,
2022;32:6526-6535.
E. Sogancioglu, K. Murphy, E. Th Scholten, L. Boulogne, M. Prokop and B. van Ginneken, "Automated estimation of total lung volume using chest radiographs and deep learning",
Medical Physics,
2022;49(7):4466-4477.
S. Scharm, C. Schaefer-Prokop, M. Willmann, J. Vogel-Claussen, L. Knudsen, D. Jonigk, J. Fuge, T. Welte, F. Wacker, A. Prasse and H. Shin, "Increased regional ventilation as early imaging marker for future disease progression of interstitial lung disease: a feasibility study",
European Radiology,
2022;32:6046-6057.
J. Thannhauser, J. Nas, K. van der Sluijs, H. Zwart, M. de Boer, N. van Royen, J. Bonnes and M. Brouwer, "Pilot study on VF-waveform based algorithms for early detection of acute myocardial infarction during out-of-hospital cardiac arrest",
Resuscitation,
2022;174:62-67.
S. Satturwar, I. Girolami, E. Munari, F. Ciompi, A. Eccher and L. Pantanowitz, "Program death ligand-1 immunocytochemistry in lung cancer cytological samples: A systematic review.",
Diagnostic cytopathology,
2022;50(6):313-323.
A. van der Kamp, T. Waterlander, T. de Bel, J. van der Laak, M. van den Heuvel-Eibrink, A. Mavinkurve-Groothuis and R. de Krijger, "Artificial Intelligence in Pediatric Pathology: The Extinction of a Medical Profession or the Key to a Bright Future?",
Pediatric and Developmental Pathology,
2022;25:380-387.
Y. Chen, S. Vinayahalingam, S. Berge, Y. Liao, T. Maal and T. Xi, "Is the pattern of mandibular asymmetry in mild craniofacial microsomia comparable to non-syndromic class II asymmetry?",
Clinical oral investigations,
2022;26(6):4603-4613.
B. Sturm, D. Creytens, J. Smits, A. Ooms, E. Eijken, E. Kurpershoek, H. Küsters-Vandevelde, C. Wauters, W. Blokx and J. van der Laak, "Computer-Aided Assessment of Melanocytic Lesions by Means of a Mitosis Algorithm",
Diagnostics,
2022;12:436.
A. Pfob, C. Sidey-Gibbons, R. Barr, V. Duda, Z. Alwafai, C. Balleyguier, D. Clevert, S. Fastner, C. Gomez, M. Goncalo, I. Gruber, M. Hahn, A. Hennigs, P. Kapetas, S. Lu, J. Nees, R. Ohlinger, F. Riedel, M. Rutten, B. Schaefgen, M. Schuessler, A. Stieber, R. Togawa, M. Tozaki, S. Wojcinski, C. Xu, G. Rauch, J. Heil and M. Golatta, "The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis",
European Radiology,
2022;32:4101-4115.
L. Bohner, S. Vinayahalingam, J. Kleinheinz and M. Hanisch, "Digital Implant Planning in Patients with Ectodermal Dysplasia: Clinical Report.",
International journal of environmental research and public health,
2022;19(3).
A. Wanders, W. Mees, P. Bun, N. Janssen, A. Rodríguez-Ruiz, M. Dalmış, N. Karssemeijer, C. van Gils, I. Sechopoulos, R. Mann and C. van Rooden, "Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms",
Radiology,
2022;303:269-275.
G. Bozovic, C. Schaefer-Prokop and A. Bankier, "Pulmonary functional imaging (PFI): A historical review and perspective",
Acta Radiologica,
2022;64:90-100.
M. Schilpzand, C. Neff, J. van Dillen, B. van Ginneken, T. Heskes, C. de Korte and T. van den Heuvel, "Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.",
Ultrasound in medicine & biology,
2022;48(4):663-674.
T. de Bel, G. Litjens, J. Ogony, M. Stallings-Mann, J. Carter, T. Hilton, D. Radisky, R. Vierkant, B. Broderick, T. Hoskin, S. Winham, M. Frost, D. Visscher, T. Allers, A. Degnim, M. Sherman and J. van der Laak, "Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning",
npj Breast Cancer,
2022;8.
W. Bulten, K. Kartasalo, P. Chen, P. Strom, H. Pinckaers, K. Nagpal, Y. Cai, D. Steiner, H. van Boven, R. Vink, C. de Hulsbergen-van Kaa, J. van der Laak, M. Amin, A. Evans, T. van der Kwast, R. Allan, P. Humphrey, H. Gronberg, H. Samaratunga, B. Delahunt, T. Tsuzuki, T. Hakkinen, L. Egevad, M. Demkin, S. Dane, F. Tan, M. Valkonen, G. Corrado, L. Peng, C. Mermel, P. Ruusuvuori, G. Litjens, M. Eklund, A. Brilhante, A. Cakir, X. Farre, K. Geronatsiou, V. Molinie, G. Pereira, P. Roy, G. Saile, P. Salles, E. Schaafsma, J. Tschui, J. Billoch-Lima, E. Pereira, M. Zhou, S. He, S. Song, Q. Sun, H. Yoshihara, T. Yamaguchi, K. Ono, T. Shen, J. Ji, A. Roussel, K. Zhou, T. Chai, N. Weng, D. Grechka, M. Shugaev, R. Kiminya, V. Kovalev, D. Voynov, V. Malyshev, E. Lapo, M. Campos, N. Ota, S. Yamaoka, Y. Fujimoto, K. Yoshioka, J. Juvonen, M. Tukiainen, A. Karlsson, R. Guo, C. Hsieh, I. Zubarev, H. Bukhar, W. Li, J. Li, W. Speier, C. Arnold, K. Kim, B. Bae, Y. Kim, H. Lee, J. Park and the PANDA challenge consortium, "Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge",
Nature Medicine,
2022.
L. Miesen, P. Bándi, B. Willemsen, F. Mooren, T. Strieder, E. Boldrini, V. Drenic, J. Eymael, R. Wetzels, J. Lotz, N. Weiss, E. Steenbergen, T. van Kuppevelt, M. van Erp, J. van der Laak, N. Endlich, M. Moeller, J. Wetzels, J. Jansen and B. Smeets, "Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis",
Disease Models & Mechanisms,
2022;15.
M. Golatta, A. Pfob, C. Büsch, T. Bruckner, Z. Alwafai, C. Balleyguier, D. Clevert, V. Duda, M. Goncalo, I. Gruber, M. Hahn, P. Kapetas, R. Ohlinger, M. Rutten, R. Togawa, M. Tozaki, S. Wojcinski, G. Rauch, J. Heil and R. Barr, "The potential of combined shear wave and strain elastography to reduce unnecessary biopsies in breast cancer diagnostics - An international, multicentre trial",
European Journal of Cancer,
2022;161:1-9.
A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, M. van den Heuvel, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Scan-based competing death risk model for reevaluating lung cancer computed tomography screening eligibility",
European Respiratory Journal,
2022;59(5):2101613.
K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "How does artificial intelligence in radiology improve efficiency and health outcomes?",
Pediatric Radiology,
2022;52(11):2087-2093.
M. den Van Bempt, S. Vinayahalingam, M. Han, S. Berge and T. Xi, "The role of muscular traction in the occurrence of skeletal relapse after advancement bilateral sagittal split osteotomy (BSSO): A systematic review.",
Orthodontics & craniofacial research,
2022;25(1):1-13.
N. Alves, M. Schuurmans, G. Litjens, J.S. Bosma, J. Hermans and H. Huisman, "Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography",
Cancers,
2022:376.
J. Noothout, N. Lessmann, M. Eede, L. van Harten, E. Sogancioglu, F. Heslinga, M. Veta, B. van Ginneken and I. Isgum, "Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation",
Journal of Medical Imaging,
2022.
M. Schaap, N. Cardozo, A. Patel, E. de Jong, B. van Ginneken and M. Seyger, "Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks",
Journal of the European Academy of Dermatology and Venereology,
2022;36(1):68-75.
M. D'Amato, P. Szostak and B. Torben-Nielsen, "A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images",
Frontiers in Public Health,
2022;10.
J. van der Laak, K. Grünberg, A. Frisk and P. Moulin, "BUILDING AN E.U.-SCALE DIGITAL PATHOLOGY REPOSITORY: THE BIGPICTURE INITIATIVE",
Journal of Pathology Informatics,
2022;13:100026.
S. Schalekamp, W. Klein and K. van Leeuwen, "Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective",
Pediatric Radiology,
2022;52(11):2120-2130.
M. Huisman and N. Lessmann, "Automatic Brand Identification of Orthopedic Implants from Radiographs: Ready for the Next Step?",
Radiology: Artificial Intelligence,
2022;4(2):e220008.
M. Sunoqrot, A. Saha, M. Hosseinzadeh, M. Elschot and H. Huisman, "Artificial Intelligence for Prostate MRI: Open Datasets, Available Applications, and Grand Challenges",
European Radiology Experimental,
2022:35.
C. Roest, T. Kwee, A. Saha, J. Futterer, D. Yakar and H. Huisman, "AI-Assisted Biparametric MRI Surveillance of Prostate Cancer: Feasibility Study",
European Radiology,
2022.
S. Labus, M. Altmann, H. Huisman, A. Tong, T. Penzkofer, M. Choi, I. Shabunin, D. Winkel, P. Xinga, D. Szolar, S. Shea, R. Grimm, H. von Busch, A. Kamen, T. Herold and C. Baumann, "A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists",
European Radiology,
2022.
S. Otálora, N. Marini, D. Podareanu, R. Hekster, D. Tellez, J. Der Van Laak, H. Müller and M. Atzori, "stainlib: a python library for augmentation and normalization of histopathology H&E images",
Preprint,
2022.
M. Schuurmans, N. Alves, P. Vendittelli, H. Huisman and J. Hermans, "Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging",
Cancers,
2022:3498.
G. Chlebus, A. Schenk, H. Hahn, B. Van Ginneken and H. Meine, "Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow",
IEEE Access,
2022;10:4728-4738.
L. Hadjiiski, K. Cha, H. Chan, K. Drukker, L. Morra, J. Nappi, B. Sahiner, H. Yoshida, Q. Chen, T. Deserno, H. Greenspan, H. Huisman, Z. Huo, R. Mazurchuk, N. Petrick, D. Regge, R. Samala, R. Summers, K. Suzuki, G. Tourassi, D. Vergara and S. III, "AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging",
Medical Physics,
2022.
M. Eisenmann, A. Reinke, V. Weru, M. Tizabi, F. Isensee, T. Adler, P. Godau, V. Cheplygina, M. Kozubek, S. Ali, A. Gupta, J. Kybic, A. Noble, C. de Solórzano, S. Pachade, C. Petitjean, D. Sage, D. Wei, E. Wilden, D. Alapatt, V. Andrearczyk, U. Baid, S. Bakas, N. Balu, S. Bano, V. Bawa, J. Bernal, S. Bodenstedt, A. Casella, J. Choi, O. Commowick, M. Daum, A. Depeursinge, R. Dorent, J. Egger, H. Eichhorn, S. Engelhardt, M. Ganz, G. Girard, L. Hansen, M. Heinrich, N. Heller, A. Hering, A. Huaulmé, H. Kim, B. Landman, H. Li, J. Li, J. Ma, A. Martel, C. Martín-Isla, B. Menze, C. Nwoye, V. Oreiller, N. Padoy, S. Pati, K. Payette, C. Sudre, K. van Wijnen, A. Vardazaryan, T. Vercauteren, M. Wagner, C. Wang, M. Yap, Z. Yu, C. Yuan, M. Zenk, A. Zia, D. Zimmerer, R. Bao, C. Choi, A. Cohen, O. Dzyubachyk, A. Galdran, T. Gan, T. Guo, P. Gupta, M. Haithami, E. Ho, I. Jang, Z. Li, Z. Luo, F. Lux, S. Makrogiannis, D. Müller, Y. Oh, S. Pang, C. Pape, G. Polat, C. Reed, K. Ryu, T. Scherr, V. Thambawita, H. Wang, X. Wang, K. Xu, H. Yeh, D. Yeo, Y. Yuan, Y. Zeng, X. Zhao, J. Abbing, J. Adam, N. Adluru, N. Agethen, S. Ahmed, Y. Khalil, M. Alenyà, E. Alhoniemi, C. An, T. Anwar, T. Arega, N. Avisdris, D. Aydogan, Y. Bai, M. Calisto, B. Basaran, M. Beetz, C. Bian, H. Bian, K. Blansit, L. Bloch, R. Bohnsack, S. Bosticardo, J. Breen, M. Brudfors, R. Brüngel, M. Cabezas, A. Cacciola, Z. Chen, Y. Chen, D. Chen, M. Cho, M. Choi, C. Xie, D. Cobzas, J. Cohen-Adad, J. Acero, S. Das, M. de Oliveira, H. Deng, G. Dong, L. Doorenbos, C. Efird, S. Escalera, D. Fan, M. Serj, A. Fenneteau, L. Fidon, P. Filipiak, R. Finzel, N. Freitas, C. Friedrich, M. Fulton, F. Gaida, F. Galati, C. Galazis, C. Gan, Z. Gao, S. Gao, M. Gazda, B. Gerats, N. Getty, A. Gibicar, R. Gifford, S. Gohil, M. Grammatikopoulou, D. Grzech, O. Güley, T. Günnemann, C. Guo, S. Guy, H. Ha, L. Han, I. Han, A. Hatamizadeh, T. He, J. Heo, S. Hitziger, S. Hong, S. Hong, R. Huang, Z. Huang, M. Huellebrand, S. Huschauer, M. Hussain, T. Inubushi, E. Polat, M. Jafaritadi, S. Jeong, B. Jian, Y. Jiang, Z. Jiang, Y. Jin, S. Joshi, A. Kadkhodamohammadi, R. Kamraoui, I. Kang, J. Kang, D. Karimi, A. Khademi, M. Khan, S. Khan, R. Khantwal, K. Kim, T. Kline, S. Kondo, E. Kontio, A. Krenzer, A. Kroviakov, H. Kuijf, S. Kumar, F. La Rosa, A. Lad, D. Lee, M. Lee, C. Lena, H. Li, L. Li, X. Li, F. Liao, K. Liao, A. Oliveira, C. Lin, S. Lin, A. Linardos, M. Linguraru, H. Liu, T. Liu, D. Liu, Y. Liu, J. Lourenço-Silva, J. Lu, J. Lu, I. Luengo, C. Lund, H. Luu, Y. Lv, Y. Lv, U. Macar, L. Maechler, S. L., K. Marshall, M. Mazher, R. McKinley, A. Medela, F. Meissen, M. Meng, D. Miller, S. Mirjahanmardi, A. Mishra, S. Mitha, H. Mohy-ud-Din, T. Mok, G. Murugesan, E. Karthik, S. Nalawade, J. Nalepa, M. Naser, R. Nateghi, H. Naveed, Q. Nguyen, C. Quoc, B. Nichyporuk, B. Oliveira, D. Owen, J. Pal, J. Pan, W. Pan, W. Pang, B. Park, V. Pawar, K. Pawar, M. Peven, L. Philipp, T. Pieciak, S. Plotka, M. Plutat, F. Pourakpour, D. Preloznik, K. Punithakumar, A. Qayyum, S. Queirós, A. Rahmim, S. Razavi, J. Ren, M. Rezaei, J. Rico, Z. Rieu, M. Rink, J. Roth, Y. Ruiz-Gonzalez, N. Saeed, A. Saha, M. Salem, R. Sanchez-Matilla, K. Schilling, W. Shao, Z. Shen, R. Shi, P. Shi, D. Sobotka, T. Soulier, B. Fadida, D. Stoyanov, T. Mun, X. Sun, R. Tao, F. Thaler, A. Théberge, F. Thielke, H. Torres, K. Wahid, J. Wang, Y. Wang, W. Wang, X. Wang, J. Wen, N. Wen, M. Wodzinski, Y. Wu, F. Xia, T. Xiang, C. Xiaofei, L. Xu, T. Xue, Y. Yang, L. Yang, K. Yao, H. Yao, A. Yazdani, M. Yip, H. Yoo, F. Yousefirizi, S. Yu, L. Yu, J. Zamora, R. Zeineldin, D. Zeng, J. Zhang, B. Zhang, J. Zhang, F. Zhang, H. Zhang, Z. Zhao, Z. Zhao, J. Zhao, C. Zhao, Q. Zheng, Y. Zhi, Z. Zhou, B. Zou, K. Maier-Hein, P. Jäger, A. Kopp-Schneider and L. Maier-Hein, "Biomedical image analysis competitions: The state of current participation practice",
arXiv:2212.08568,
2022.
L. Studer, J. Bokhorst, F. Ciompi, A. Fischer and H. Dawson, "Building-T-cell score is a potential predictor for more aggressive treatment in pT1 colorectal cancers",
Proceedings of the ECDP 2022 18th European Congress on Digital Pathology,
2022.
E. Chelebian, F. Ciompi and C. Wählby, "Seeded iterative clustering for histology region identification",
Medical Imaging Meets NeurIPS Workshop - 36th Conference on Neural Information Processing Systems (NeurIPS),
2022.
Y. Li, Y. Fu, Q. Yang, Z. Min, W. Yan, H. Huisman, D. Barratt, V. Prisacariu and Y. Hu, "FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning",
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI),
2022.
M. van Bommel, J. Bogaerts, R. Hermens, M. Steenbeek, J. de Hullu, J. van der Laak and M. Simons, "2022-RA-646-ESGO Consensus based recommendations for the diagnosis of serous tubal intraepithelial carcinoma, an international delphi study",
Pathology,
2022.
N. Alves and B. de Wilde, "Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation",
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation,
2022:116-127.
J.S. Bosma, N. Alves and H. Huisman, "Performant and Reproducible Deep Learning Based Cancer Detection Models for Medical Imaging",
Annual Meeting of the Radiological Society of North America,
2022.
L. van Eekelen, E. Munari, I. Girolami, A. Eccher, J. van der Laak, K. Grunberg, M. Looijen-Salamon, S. Vos and F. Ciompi, "Inter-rater agreement of pathologists on determining PD-L1 status in non-small cell lung cancer",
European Congress of Pathology,
2022.
M. van Rijssel, C. van den Berg, C. Noordman and A. van Lier, "Accelerating phase-cycled bSSFP using sparsity across the phase-cycling dimension",
ISMRM-ESMRMB,
2022.
L. van Eekelen, E. Munari, L. Meesters, G. de Souza, M. Demirel-Andishmand, D. Zegers, M. Looijen-Salamon, S. Vos and F. Ciompi, "Nuclei detection with YOLOv5 in PD-L1 stained non-small cell lung cancer whole slide images",
European Congress of Pathology,
2022.
S. Fransen, C. Roest, Q. van Lohuizen, J. Bosma, T. Kwee, D. Yakar and H. Huisman, "Diagnostic AI to speed up MRI protocols by identifying redundant sequences: are all diffusion-weighted prostate MRI sequences necessary?",
Annual Meeting of the Radiological Society of North America,
2022.
I. van den Berk, C. Jacobs, M. Kanglie, O. Mets, M. Snoeren, A. van Montauban Swijndregt, E. Taal, T. van Engelen, J. Prins, S. Bipat, P. Bossuyt and J. Stoker, "Added value of artificial intelligence for the detection and analysis of lung nodules on ultra-low-dose CT in an emergency setting",
Annual Meeting of the Radiological Society of North America,
2022.
K. van Leeuwen, M. Becks, S. Schalekamp, B. van Ginneken, M. Rutten, M. de Rooij and F. Meijer, "Real-world evaluation of artificial intelligence software for cerebral large vessel occlusion detection in CT angiography",
European Congress of Radiology,
2022.
T. Perik, J. Hermans and H. Huisman, "AI-assisted analysis of CT perfusion to predict response in patients with pancreatic adenocarcinoma",
European Congress of Radiology,
2022.
L. Deden, K. van Leeuwen, M. Becks, M. Bernsen, M. de Rooij, J. Martens and F. Meijer, "Gluren bij de buren - Evaluating and sharing real-world experience of an AI stroke tool in two centres",
Radiologendagen,
2022.
J. Spronck, L. Eekelen, L. Tessier, J. Bogaerts, L. van der Woude, M. van den Heuvel, W. Theelen and F. Ciompi, "Deep learning-based quantification of immune infiltrate for predicting response to pembrolizumab from pre-treatment biopsies of metastatic non-small cell lung cancer: A study on the PEMBRO-RT phase II trial",
Immuno-Oncology and Technology,
2022.
S. de Jong, N. Alves, M. Schuurmans, J. Hermans and H. Huisman, "Deep Learning for Automatic Contrast Enhancement Phase Detection on Abdominal Computed Tomography",
Annual Meeting of the Radiological Society of North America,
2022.
N. Alves, J.S. Bosma and H. Huisman, "Towards Safe Clinical Use of Artificial Intelligence for Cancer Detection Through Uncertainty Quantification",
Annual Meeting of the Radiological Society of North America,
2022.
M. Grauw, B. Ginneken, B. Geisler, E. Smit, M. Rooij, S. Schalekamp and M. Prokop, "Deep learning universal lesion segmentation for automated RECIST measurements on CT: comparison to manual assessment by radiologists",
European Congress of Radiology,
2022.
E. van Genugten, B. Piet, G. Schreibelt, T. van Oorschot, G. van den Heuvel, F. Ciompi, C. Jacobs, J. de Vries, M. van den Heuvel and E. Aarntzen, "Imaging tumor-infiltrating CD8 (+) T-cells in non-small cell lung cancer patients upon neo-adjuvant treatment with durvalumab",
European Molecular Imaging Meeting,
2022.
K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "The rise of artificial intelligence solutions in radiology departments in the Netherlands",
European Congress of Radiology,
2022.
L. Boulogne and B. van Ginneken, "Automatically Generated CT Severity Scores for COVID-19 Predict Death or Intubation at 1-Month Follow-Up",
Annual Meeting of the Radiological Society of North America,
2022.
K. Venkadesh, T. Aleef, A. Schreuder, E. Scholten, B. van Ginneken, M. Prokop and C. Jacobs, "Deep learning for estimating pulmonary nodule malignancy risk using prior CT examinations in lung cancer screening",
European Congress of Radiology,
2022.
J. van der Graaf, M. van Hooff, C. Buckens and N. Lessmann, "Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation",
Medical Imaging 2022: Image Processing,
2022;12032:909-913.
C. Roest, T. Kwee, A. Saha, J. Futterer, D. Yakar and H. Huisman, "AI-Assisted Biparametric MRI Surveillance of Prostate Cancer: Feasibility Study",
European Congress of Radiology,
2022.
M. Schuurmans, N. Alves, H. Huisman and J. Hermans, "Deep Learning for Detection of Iso-attenuating Pancreatic Adenocarcinoma in Computed Tomography",
Annual Meeting of the Radiological Society of North America,
2022.
A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge",
Annual Meeting of the Radiological Society of North America,
2022.
A. Hering, A. Lange, S. Heldmann, S. Häger and S. Kuckertz, "Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge",
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis,
2022:147-152.