E-LIB Suche - Ergebnisse für: Frederic Madesta

1

Benchmarking machine learning‐based real‐time respiratory s..:

Wimmert, Lukas ; Nielsen, Maximilian ; Madesta, Frederic...
Medical Physics. 51 (2024) 5 - p. 3173-3183 , 2024

Link: https://doi.org/10.1002/..

2

A joint ESTRO and AAPM guideline for development, clinical ..:

Hurkmans, Coen ; Bibault, Jean-Emmanuel ; Brock, Kristy K....
Radiotherapy and Oncology. 197 (2024) - p. 110345 , 2024

Link: https://doi.org/10.1016/..

3

Deep learning‐based conditional inpainting for restoration ..:

Madesta, Frederic ; Sentker, Thilo ; Gauer, Tobias.
Medical Physics. 51 (2023) 5 - p. 3437-3454 , 2023

Link: https://doi.org/10.1002/..

4

Discordant and Converting Receptor Expressions in Brain Met..:

Heitkamp, Alexander ; Madesta, Frederic ; Amberg, Sophia...
Cancers. 15 (2023) 11 - p. 2880 , 2023

Link: https://doi.org/10.3390/..

5

Clinical application of breathing-adapted 4D CT: image qual..:

Werner, René ; Szkitsak, Juliane ; Madesta, Frederic...
Strahlentherapie und Onkologie. 199 (2023) 7 - p. 686-691 , 2023

Link: https://doi.org/10.1007/..

6

Reinforcement learning-basierte Patchpriorisierung zur besc..:

, In: Informatik aktuell; Bildverarbeitung für die Medizin 2022,

Schüttler, Samuel ; Madesta, Frederic ; Rösch, Thomas.. - p. 339-344 , 2022

Link: https://doi.org/10.1007/..

7

Evaluation of magnetic resonance imaging-based radiomics ch..:

Ristow, Inka ; Madesta, Frederic ; Well, Lennart...
Neuro-Oncology. 24 (2022) 10 - p. 1790-1798 , 2022

Link: https://doi.org/10.1093/..

8

Multi-scale fully convolutional neural networks for histopa..:

Schmitz, Rüdiger ; Madesta, Frederic ; Nielsen, Maximilian...
Medical Image Analysis. 70 (2021) - p. 101996 , 2021

Link: https://doi.org/10.1016/..

9

Abstract: Widening the Focus: Biomedical Image Segmentation..:

, In: Bildverarbeitung für die Medizin 2021; Informatik aktuell,

Madesta, Frederic ; Schmitz, Rüdiger ; Rösch, Thomas. - p. 253-253 , 2021

Link: https://doi.org/10.1007/..

10

PAIP 2019: Liver cancer segmentation challenge:

Kim, Yoo Jung ; Jang, Hyungjoon ; Lee, Kyoungbun...
Medical Image Analysis. 67 (2021) - p. 101854 , 2021

Link: https://doi.org/10.1016/..

11

Intelligent 4D CT sequence scanning (i4DCT): First scanner ..:

Werner, René ; Sentker, Thilo ; Madesta, Frederic...
Medical Physics. 47 (2020) 6 - p. 2408-2412 , 2020

Link: https://doi.org/10.1002/..

12

Self‐contained deep learning‐based boosting of 4D cone‐beam..:

Madesta, Frederic ; Sentker, Thilo ; Gauer, Tobias.
Medical Physics. 47 (2020) 11 - p. 5619-5631 , 2020

Link: https://doi.org/10.1002/..

13

4D CT image artifacts affect local control in SBRT of lung ..:

Sentker, Thilo ; Schmidt, Vladimir ; Ozga, Ann-Kathrin...
Radiotherapy and Oncology. 148 (2020) - p. 229-234 , 2020

Link: https://doi.org/10.1016/..

14

Widening the Focus: Biomedical Image Segmentation Challenge..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,

Madesta, Frederic ; Schmitz, Rüdiger ; Rösch, Thomas. - p. 289-298 , 2020

Link: https://doi.org/10.1007/..

15

Intelligent 4D CT sequence scanning (i4DCT): Concept and pe..:

Werner, René ; Sentker, Thilo ; Madesta, Frederic..
Medical Physics. 46 (2019) 8 - p. 3462-3474 , 2019

Link: https://doi.org/10.1002/..