Marco Riboldi

About Marco Riboldi

Marco Riboldi, With an exceptional h-index of 33 and a recent h-index of 24 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München, specializes in the field of medical physics, image guidance, radiotherapy, particle therapy.

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

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

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

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

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

Continuous time-resolved estimated synthetic 4D-CTs for dose reconstruction of lung tumor treatments at a 0.35 T MR-linac

PO-1889 Feasibility of markerless lung tumor tracking on radiographs with Retina U-Net

Multi-stage image registration based on list-mode proton radiographies for small animal proton irradiation: A simulation study

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

Marco Riboldi Information

University

Position

___

Citations(all)

3825

Citations(since 2020)

2061

Cited By

2691

hIndex(all)

33

hIndex(since 2020)

24

i10Index(all)

97

i10Index(since 2020)

62

Email

University Profile Page

Google Scholar

Marco Riboldi Skills & Research Interests

medical physics

image guidance

radiotherapy

particle therapy

Top articles of Marco Riboldi

Title

Journal

Author(s)

Publication Date

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

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

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

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

Continuous time-resolved estimated synthetic 4D-CTs for dose reconstruction of lung tumor treatments at a 0.35 T MR-linac

Physics in Medicine & Biology

Moritz Rabe

Chiara Paganelli

Henning Schmitz

Giorgia Meschini

Marco Riboldi

...

2023/11/28

PO-1889 Feasibility of markerless lung tumor tracking on radiographs with Retina U-Net

Radiotherapy and Oncology

L Huang

C Kurz

P Freislederer

F Manapov

S Corradini

...

2023/5/1

Multi-stage image registration based on list-mode proton radiographies for small animal proton irradiation: A simulation study

Zeitschrift für Medizinische Physik

Prasannakumar Palaniappan

Yana Knudsen

Sebastian Meyer

Chiara Gianoli

Katrin Schnürle

...

2023/6/21

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

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

Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating

Strahlentherapie und Onkologie

Yuqing Xiong

Moritz Rabe

Lukas Nierer

Maria Kawula

Stefanie Corradini

...

2023/6

Experimental comparison of linear regression and LSTM motion prediction models for MLC‐tracking on an MRI‐linac

Medical Physics

Elia Lombardo

Paul ZY Liu

David EJ Waddington

James Grover

Brendan Whelan

...

2023/11

Head and Neck Cancer Localization with Retina Unet for Automated Segmentation and Time-To-Event Prognosis from PET/CT Images

Head and Neck Tumor Segmentation and Outcome Prediction: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Marco Riboldi

2023/3/17

On the robustness of multilateration of ionoacoustic signals for localization of the Bragg peak at pre-clinical proton beam energies in water

Physics in Medicine & Biology

Ronaldo Kalunga

Hans-Peter Wieser

Pratik Dash

Matthias Würl

Marco Riboldi

...

2023/5/8

Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects

Elia Lombardo

Jennifer Dhont

Denis Page

Cristina Garibaldi

Luise A Künzel

...

2023/10/26

Impact of secondary particles on the magnetic field generated by a proton pencil beam: a finite‐element analysis based on Geant4‐DNA simulations

Medical Physics

Martin Rädler

Giulia Buizza

Maria Kawula

Prasannakumar Palaniappan

Chiara Gianoli

...

2023/2

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

Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors

Radiation Oncology

Marvin F Ribeiro

Sebastian Marschner

Maria Kawula

Moritz Rabe

Stefanie Corradini

...

2023/8/14

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

Virtual 4DCT generated from 4DMRI in gated particle therapy: phantom validation and application to lung cancer patients

Physics in Medicine & Biology

S Annunziata

M Rabe

A Vai

S Molinelli

A Nakas

...

2023/7/5

A patient-specific hybrid phantom for calculating radiation dose and equivalent dose to the whole body

Physics in Medicine & Biology

Erika Kollitz

Haegin Han

Chan Hyeong Kim

Marco Pinto

Marco Schwarz

...

2022/2/4

See List of Professors in Marco Riboldi University(Ludwig-Maximilians-Universität München)