People

Mads Nielsen

P1 Collaboratory Co-Lead and Professor, University of Copenhagen

Department of Computer Science

Mads's P1 Publications

Robust Identification of White Matter Hyperintensities in Uncontrolled Settings Using Deep Learning

Alice Schiavone, Sebastian N. Llambias, Jacob Johansen, Silvia Ingala, Akshay Pai, Mads Nielsen, Mostafa M. Ghazi

Partial feedback online transfer learning with multi-source domains
Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa M. Ghazi
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Neus R. Ferrer, Malini V. Sagar, Kiril V. Klein, Christina Kruuse, Mads Nielsen, Mostafa M. Ghazi
Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture
Andreas D. Lauritzen, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
Active Transfer Learning for 3D Hippocampus Segmentation
Ji Wu, Zhongfeng Kang, Sebastian N. Llambias, Mostafa M. Ghazi, Mads Nielsen
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction
Paraskevas Pegios, Emilie P. F. Sejer, Manxi Lin, Zahra Bashir, Morten B. S. Svendsen, Mads Nielsen, Eike Petersen, Anders N. Christensen, Martin Tolsgaard, Aasa Feragen
Online transfer learning with partial feedback
Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan S. Lorenzen
Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk
Andreas D. Lauritzen, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload
Andreas D. Lauritzen, Alejandro Rodríguez-Ruiz, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data
Mostafa M. Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
Machine learning and deep learning applications in microbiome research
Ricardo H. Medina, Svetlana Kutuzova, Knud N. Nielsen, Joachim Johansen, Lars H. Hansen, Mads Nielsen, Simon Rasmussen
A buffered online transfer learning algorithm with multi-layer network
Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang

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People

Mads Nielsen

P1 Collaboratory Co-Lead and Professor, University of Copenhagen

Department of Computer Science

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Mads's P1 Publications

Robust Identification of White Matter Hyperintensities in Uncontrolled Settings Using Deep Learning

Partial feedback online transfer learning with multi-source domains

Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19

Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture

Active Transfer Learning for 3D Hippocampus Segmentation

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction

Online transfer learning with partial feedback

Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

Machine learning and deep learning applications in microbiome research

A buffered online transfer learning algorithm with multi-layer network