Stephanie E. Combs

发表

Current status of 4D offline PET-based treatment verification at the Heidelberg Ion-Beam Therapy Center

Christopher Kurz, Julia Bauer, Katia Parodi, 2013, 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC).

Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients pdf

Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch, 2020, Cancers.

Master of Science (MSc) Program in Radiation Biology: An Interdepartmental Course Bridging the Gap between Radiation-Related Preclinical and Clinical Disciplines to Prepare Next-Generation Medical Scientists

Stephanie E. Combs, Gabriele Multhoff, Jan J. Wilkens, 2017, Front. Oncol..

RTHP-26. FEASIBILITY OF A CONCOMITANT ADMINISTRATION OF ALTERNATING ELECTRIC FIELDS AND RADIOTHERAPY – A PLANNING STUDY.

Stephanie E. Combs, Jan J. Wilkens, Markus Oechsner, 2017 .

Additional file 1: of Planning strategies for inter-fractional robustness in pancreatic patients treated with scanned carbon therapy

Daniel Richter, Stephanie E. Combs, Vania Batista, 2017 .

Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts

Stephanie E. Combs, Thomas Kirchner, Jutta Engel, 2017, Front. Oncol..

Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients

Daniel Cremers, Burkhard Rost, Fridtjof Nüsslin, 2017 .

Deep Reinforcement Learning for Organ Localization in CT

Bjoern H. Menze, Bjoern H Menze, Stephanie E. Combs, 2020, MIDL.

Five-year experience with setup and implementation of an integrated database system for clinical documentation and research

Christian Bohn, Uwe Engelmann, Stephanie E. Combs, 2014, Comput. Methods Programs Biomed..

A Decision-making Tool for a Costly Innovative Technology: The Case of Carbon Ion Radiotherapy

Stephanie E. Combs, Lionel Perrier, Yolande Lievens, 2007 .

Web-based documentation system with exchange of DICOM RT for multicenter clinical studies in particle therapy

Uwe Engelmann, Stephanie E. Combs, Rolf Bendl, 2012, Other Conferences.

Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?

Steffen Löck, Mechthild Krause, Stephanie E. Combs, 2021, MICCAI.

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging pdf

Bjoern H. Menze, Bjoern H Menze, Stephanie E. Combs, 2021, ArXiv.

Biopsy Targeting Gliomas: Do Functional Imaging Techniques Identify Similar Target Areas?

Bram Stieltjes, Frederik L. Giesel, Stephanie E. Combs, 2010, Investigative radiology.

Prospective evaluation of early treatment outcome in patients with meningiomas treated with particle therapy based on target volume definition with MRI and 68Ga-DOTATOC-PET

Oliver Jäkel, Stephanie E. Combs, Uwe Haberkorn, 2013, Acta oncologica.

Evaluation of different fiducial markers for image-guided radiotherapy and particle therapy

Oliver Jäkel, Stephanie E. Combs, Jürgen Debus, 2013, Journal of radiation research.

3 D Radial Projection Technique With Ultrashort Echo Times for Sodium MRI : Clinical Applications in Human Brain and Skeletal Muscle

Stephanie E. Combs, Michael Bock, Lothar R. Schad, 2006 .

Diagnosis and treatment of brain metastases from solid tumors: guidelines from the European Association of Neuro-Oncology (EANO)

Alexander Radbruch, Stephanie E. Combs, Damien C. Weber, 2017, Neuro-oncology.

Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey

Stephanie E. Combs, Kerstin A. Kessel, 2015, Radiation oncology.

Individualized radiotherapy by combining high-end irradiation and magnetic resonance imaging

Fridtjof Nüsslin, Stephanie E. Combs, Jan J. Wilkens, 2016, Strahlentherapie und Onkologie.

Review of Developments in Electronic, Clinical Data Collection, and Documentation Systems over the Last Decade – Are We Ready for Big Data in Routine Health Care?

Stephanie E. Combs, Kerstin A. Kessel, S. Combs, 2016, Front. Oncol..

“Radio-oncomics”

Fridtjof Nüsslin, Stephanie E. Combs, F. Nüsslin, 2017, Strahlentherapie und Onkologie.

Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients

Fridtjof Nüsslin, Stephanie E. Combs, Bernhard Haller, 2018, Strahlentherapie und Onkologie.

Hypofractionated Carbon Ion Therapy delivered with Scanned Ion Beams for Patients with Hepatocellular Carcinoma – Feasibility and Clinical Response

Julia Bauer, Katia Parodi, Oliver Jäkel, 2013 .

Evaluation of inter- and intrafractional motion of liver tumors using interstitial markers and implantable electromagnetic radiotransmitters in the context of image-guided radiotherapy (IGRT) – the ESMERALDA trial

Stephanie E. Combs, Uwe Oelfke, Simeon Nill, 2015, Radiation oncology.

2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma

Sebastian Starke, Steffen Löck, Mechthild Krause, 2020, Scientific Reports.

Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients

Fridtjof Nüsslin, Stephanie E. Combs, Burkhard Rost, 2018, Strahlentherapie und Onkologie.

Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy.

Christian Diehl, Bjoern H. Menze, Bjoern H Menze, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.