Guillaume Landry

About Guillaume Landry

Guillaume Landry, With an exceptional h-index of 36 and a recent h-index of 27 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München, specializes in the field of Medical Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Intra‐frame motion deterioration effects and deep‐learning‐based compensation in MR‐guided radiotherapy

Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs’ auto-segmentation and visual grading assessment

Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer

Repeatability quantification of brain diffusion-weighted imaging for future clinical implementation at a low-field MR-linac

Reduction of cone‐beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking

Auto-segmentation of pelvic organs at risk on 0.35 T MRI using 2D and 3D Generative Adversarial Network models

Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images

The role of online MR-guided multi-fraction stereotactic ablative radiotherapy in lung tumours

Guillaume Landry Information

University

Position

Department of Radiation Oncology University Hospital

Citations(all)

4874

Citations(since 2020)

3097

Cited By

2921

hIndex(all)

36

hIndex(since 2020)

27

i10Index(all)

84

i10Index(since 2020)

76

Email

University Profile Page

Google Scholar

Guillaume Landry Skills & Research Interests

Medical Physics

Top articles of Guillaume Landry

Title

Journal

Author(s)

Publication Date

Intra‐frame motion deterioration effects and deep‐learning‐based compensation in MR‐guided radiotherapy

Medical Physics

Zhuojie Sui

Prasannakumar Palaniappan

Jakob Brenner

Chiara Paganelli

Christopher Kurz

...

2024/3

Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs’ auto-segmentation and visual grading assessment

Frontiers in oncology

Marica Vagni

Huong Elena Tran

Francesco Catucci

Giuditta Chiloiro

Andrea D’Aviero

...

2024/3/28

Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer

Physics and Imaging in Radiation Oncology

Yuqing Xiong

Moritz Rabe

Carolin Rippke

Maria Kawula

Lukas Nierer

...

2024/2/25

Repeatability quantification of brain diffusion-weighted imaging for future clinical implementation at a low-field MR-linac

Radiation Oncology

Moritz Rabe

Olaf Dietrich

Robert Forbrig

Maximilian Niyazi

Claus Belka

...

2024/3/6

Reduction of cone‐beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking

Medical Physics

Chengtao Wei

Johanna Albrecht

Simon Rit

Matthieu Laurendeau

Adrian Thummerer

...

2024/1/15

Auto-segmentation of pelvic organs at risk on 0.35 T MRI using 2D and 3D Generative Adversarial Network models

Physica Medica

Marica Vagni

Huong Elena Tran

Angela Romano

Giuditta Chiloiro

Luca Boldrini

...

2024/3/1

Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images

Radiation Oncology

Yiling Wang

Elia Lombardo

Lili Huang

Michele Avanzo

Giuseppe Fanetti

...

2024/1/8

The role of online MR-guided multi-fraction stereotactic ablative radiotherapy in lung tumours

Clinical and Translational Radiation Oncology

Svenja Hering

Alexander Nieto

Sebastian Marschner

Jan Hofmaier

Nina-Sophie Schmidt-Hegemann

...

2024/3/1

Intrafractional motion detection for spine SBRT via X-ray imaging using ExacTrac Dynamic

Clinical and Translational Radiation Oncology

Johannes Muecke

Daniel Reitz

Lili Huang

Vanessa da Silva Mendes

Guillaume Landry

...

2024/5/1

Simultaneous object detection and segmentation for patient‐specific markerless lung tumor tracking in simulated radiographs with deep learning

Medical Physics

Lili Huang

Christopher Kurz

Philipp Freislederer

Farkhad Manapov

Stefanie Corradini

...

2024/3

Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images

Physics and Imaging in Radiation Oncology

Yan Chi Ivy Chan

Minglun Li

Adrian Thummerer

Katia Parodi

Claus Belka

...

2024/4/1

OC-0938 ScatterNet for 4D cone-beam CT intensity correction of lung cancer patients

Radiotherapy and Oncology

H Schmitz

E Lombardo

M Kawula

K Parodi

C Belka

...

2023/5/1

PO-1901 Comparing LSTM networks for real-time target segmentation prediction on low-field MR-linacs

Radiotherapy and Oncology

E Lombardo

M Rabe

Y Xiong

L Nierer

D Cusumano

...

2023/5/1

Evaluation of real-time tumor contour prediction using LSTM networks for MR-guided radiotherapy

Radiotherapy and Oncology

Elia Lombardo

Moritz Rabe

Yuqing Xiong

Lukas Nierer

Davide Cusumano

...

2023/5/1

ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients

Physics and Imaging in Radiation Oncology

Henning Schmitz

Adrian Thummerer

Maria Kawula

Elia Lombardo

Katia Parodi

...

2023/7/1

Validation of an MR-based multimodal method for molecular composition and proton stopping power ratio determination using ex vivo animal tissues and tissue-mimicking phantoms

Physics in Medicine & Biology

Raanan Marants

Sebastian Tattenberg

Jessica Scholey

Evangelia Kaza

Xin Miao

...

2023/8/28

Investigating the benefit of scattering in 2D-3D rigid registration using a single proton radiography

M Rädler

S Meyer

J Brenner

Z Sui

G Landry

...

2023/11/4

MO-0227 Validation of 4DMRI-based virtual 4DCT and application in gated particle therapy of lung cancer

Radiotherapy and Oncology

S Annunziata

M Rabe

A Vai

S Molinelli

A Nakas

...

2023/5/1

MO-0955 Ventilation and perfusion imaging at a 0.35 T MR-Linac-feasibility and reproducibility study

Radiotherapy and Oncology

R Klaar

M Rabe

T Gaass

MJ Schneider

I Benlala

...

2023/5/1

Development of integration mode proton imaging with a single CMOS detector for a small animal irradiation platform

Frontiers in Physics

Katrin Schnürle

Jonathan Bortfeldt

Franz Siegfried Englbrecht

Chiara Gianoli

Jens Hartmann

...

2023/1/12

See List of Professors in Guillaume Landry University(Ludwig-Maximilians-Universität München)

Co-Authors

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