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Hampe, Nils
31  results:
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1

Automatic Coronary Artery Plaque Quantification and CAD-RAD..:

van Herten, Rudolf L. M. ; Hampe, Nils ; Takx, Richard A. P....
IEEE Transactions on Medical Imaging.  43 (2024)  4 - p. 1272-1283 , 2024
Link: https://doi.org/10.1109/..
 
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2

Artificial Intelligence-Based Evaluation of Coronary Calciu:

, In: Artificial Intelligence in Cardiothoracic Imaging; Contemporary Medical Imaging,
van Velzen, Sanne G. M. ; Hampe, Nils ; de Vos, Bob D.. - p. 245-257 , 2022
Link: https://doi.org/10.1007/..
 
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3

Deep learning-based detection of functionally significant s..:

Hampe, Nils ; van Velzen, Sanne G. M. ; Planken, R. Nils...
Frontiers in Cardiovascular Medicine.  9 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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4

Machine Learning for Assessment of Coronary Artery Disease ..:

Hampe, Nils ; Wolterink, Jelmer M. ; van Velzen, Sanne G. M...
Frontiers in Cardiovascular Medicine.  6 (2019)  - p. , 2019
Link: https://doi.org/10.3389/..
 
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5

Dictionary‐based electric properties tomography:

Hampe, Nils ; Herrmann, Max ; Amthor, Thomas...
Magnetic Resonance in Medicine.  81 (2018)  1 - p. 342-349 , 2018
Link: https://doi.org/10.1002/..
 
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6

Deep Learning-Based Prediction of Fractional Flow Reserve a..:

Hampe, Nils ; van Velzen, Sanne G. M ; Aben, Jean-Paul..
http://arxiv.org/abs/2308.04923.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Automatic Coronary Artery Plaque Quantification and CAD-RAD..:

van Herten, Rudolf L. M ; Hampe, Nils ; Takx, Richard A. P...
http://arxiv.org/abs/2310.11297.  , 2023
Link: http://arxiv.org/abs/231..
 
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8

Deep learning-based detection of functionally significant s..:

Hampe, Nils ; van Velzen, Sanne G. M ; Planken, R. Nils...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705580/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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9

AI for Calcium Scoring:

van Velzen, Sanne G. M ; Hampe, Nils ; de Vos, Bob D.
http://arxiv.org/abs/2105.12558.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

Deep learning brain conductivity mapping using a patch-base..:

Hampe, Nils ; Katscher, Ulrich ; Berg, Cornelis A. T. van den..
http://arxiv.org/abs/1908.04118.  , 2019
Link: http://arxiv.org/abs/190..
 
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11

Data_Sheet_1_Deep learning-based detection of functionally ..:

Nils Hampe ; Sanne G. M. van Velzen ; R. Nils Planken...
doi:10.3389/fcvm.2022.964355.s001.  , 2022
Link: https://doi.org/10.3389/..
 
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12

Deep learning-based detection of functionally significant s..:

Nils Hampe ; Sanne G. M. van Velzen ; R. Nils Planken...
https://www.frontiersin.org/articles/10.3389/fcvm.2022.964355/full.  , 2022
Link: https://doi.org/10.3389/..
 
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13

Data_Sheet_1_Machine Learning for Assessment of Coronary Ar..:

Nils Hampe ; Jelmer M. Wolterink ; Sanne G. M. van Velzen..
doi:10.3389/fcvm.2019.00172.s001.  , 2019
Link: https://doi.org/10.3389/..
 
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14

Machine Learning for Assessment of Coronary Artery Disease ..:

Nils Hampe ; Jelmer M. Wolterink ; Sanne G. M. van Velzen..
https://www.frontiersin.org/article/10.3389/fcvm.2019.00172/full.  , 2019
Link: https://doi.org/10.3389/..
 
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15

Eso-Sponge® for anastomotic leakage after oesophageal resec..:

Richter, Florian ; Hendricks, Alexander ; Schniewind, Bodo...
BJS Open.  6 (2022)  2 - p. , 2022
Link: https://doi.org/10.1093/..
 
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