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Mads Nielsen

department of computer science

41H-index
374Paper Count
1.3WCitation Count
Published Papers 65
Publication Date
Leveraging AI for selective use of gadolinium contrast in brain MR
err2026-07-30
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errOAAI
errSilvia Ingala; Marko Bauer; Ivar I. J. H. G. Wamelink; Mathias Perslev; Kaining Sheng; Mads Birch Sørensen; Sebastian Nørgaard Llambias; Arpit Kothari; Era Dwivedi; Martin Lillholm; Frederik Barkhof; Michael Bachmann Nielsen; Mads Nielsen; Bas M. M. S. Jasperse; Vera C. W. Keil; Akshay Pai
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Improving metagenome binning by integrating intrinsic features and taxonomy
err2026-04-27
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errOAAI
errSvetlana Kutuzova; Pau Piera Líndez; Lasse Schnell Danielsen; Knud Nor Nielsen; Nikoline S. Olsen; Leise Riber; Alex Gobbi; Laura Milena Forero-Junco; Peter Erdmann Dougherty; Jesper Cairo Westergaard; Patrick Denis Browne; Svend Christensen; Lars Hestbjerg Hansen; Mads Nielsen; Jakob Nybo Andersen; Simon Rasmussen
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General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound
err2026-01-01
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PREAI
errAmbsdorf, Jakob; Munk, Asbjorn; Llambias, Sebastian; Christensen, Anders N.; Mikolaj, Kamil; Balestriero, Randall; Tolsgaard, Martin G.; Feragen, Aasa; Mads
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Challenges in the future of cancer screening
err2025-12-01
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errLynge, Elsebeth; Andersen, Berit; Bojesen, Stig E.; Petersen, Lone Kjeld; Bech, Mickael; Bogsted, Martin; Dam, Mie Seest; Egstrand, Soren; Hvass, Anne Mette Floe; Kobylecki, Camilla J.; Lang, Kristina; Nielsen, Mads; Rossi, Giorgi Paolo; Stenger, Michael; Vejborg, Ilse
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The Combined Use of Cervical Ultrasound and Deep Learning Improves the Detection of Patients at Risk for Spontaneous Preterm Delivery
err2025-09-12
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PREAI
errEmilie P.F. Sejer; Paraskevas Pegios; Manxi Lin; Zahra Bashir; Camilla B. Wulff; Anders N. Christensen; Mads Nielsen; Aasa Feragen; Martin G. Tolsgaard
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Predicting abnormal fetal growth using deep learning
err2025-05-29
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errMikolaj, Kamil Wojciech; Christensen, Anders Nymark; Taksoe-Vester, Caroline Amalie; Feragen, Aasa; Petersen, Olav Bjorn; Lin, Manxi; Nielsen, Mads; Svendsen, Morten Bo Sondergaard; Tolsgaard, Martin Gronnebaek
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Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation
err2025-01-15
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errBashir, Zahra; Lin, Manxi; Feragen, Aasa; Mikolaj, Kamil; Taksoe-Vester, Caroline; Christensen, Anders Nymark; Svendsen, Morten B. S.; Fabricius, Mette Hvilshoj; Andreasen, Lisbeth; Nielsen, Mads; Tolsgaard, Martin Gronnebaek
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Cognitive aging and reserve factors in the Metropolit 1953 Danish male cohort
err2024-11-21
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errOAAI
errMehdipour Ghazi, Mostafa; Urdanibia-Centelles, Olalla; Bakhtiari, Aftab; Fagerlund, Birgitte; Vestergaard, Mark Bitsch; Larsson, Henrik Bo Wiberg; Mortensen, Erik Lykke; Osler, Merete; Nielsen, Mads; Benedek, Krisztina; Lauritzen, Martin
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Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis
err2024-06-24
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errBojsen, Jonas Asgaard; Elhakim, Mohammad Talal; Graumann, Ole; Gaist, David; Nielsen, Mads; Harbo, Frederik Severin Grae; Krag, Christian Hedeager; Sagar, Malini Vendela; Kruuse, Christina; Boesen, Mikael Ploug; Rasmussen, Benjamin Schnack Brandt
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Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer
errRADIOLOGY
IF15.2
err2024-06-01
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PREAI
errLauritzen, Andreas D.; Lillholm, Martin; Lynge, Elsebeth; Nielsen, Mads; Karssemeijer, Nico; Vejborg, Ilse
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AI supported fetal echocardiography with quality assessment
err2024-03-09
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errOAAI
errTaksoee-Vester, Caroline A.; Mikolaj, Kamil; Bashir, Zahra; Christensen, Anders N.; Petersen, Olav B.; Sundberg, Karin; Feragen, Aasa; Svendsen, Morten B. S.; Nielsen, Mads; Tolsgaard, Martin G.
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Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts
err2024-02-26
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errGhazi, Mostafa Mehdipour; Selnes, Per; Timon-Reina, Santiago; Tecelao, Sandra; Ingala, Silvia; Bjornerud, Atle; Kirsebom, Bjorn-Eivind; Fladby, Tormod; Nielsen, Mads
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Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture
errRADIOLOGY
IF15.2
err2023-08-01
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PREAI
errLauritzen, Andreas D.; von Euler-Chelpin, My C.; Lynge, Elsebeth; Vejborg, Ilse; Nielsen, Mads; Karssemeijer, Nico; Lillholm, Martin
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Online transfer learning with partial feedback
err2023-02-01
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PREAI
errKang, Zhongfeng; Nielsen, Mads; Yang, Bo; Deng, Lihui; Lorenzen, Stephan Sloth
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Partial feedback online transfer learning with multi-source domains
err2023-01-01
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errOAAI
errKang, Zhongfeng; Nielsen, Mads; Yang, Bo; Ghazi, Mostafa Mehdipour
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Breast density and risk of breast cancer
err2022-10-27
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errOAAI
errLynge, Elsebeth; Vejborg, Ilse; Lillholm, Martin; Nielsen, Mads; Napolitano, George; von Euler-Chelpin, My
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An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload
errRADIOLOGY
IF15.2
err2022-07-01
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errOAAI
errLauritzen, Andreas D.; Rodriguez-Ruiz, Alejandro; Von Euler-Chelpin, My Catarina; Lynge, Elsebeth; Vejborg, Ilse; Nielsen, Mads; Karssemeijer, Nico; Lillholm, Martin
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