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J

Julian M.M. Rogasch

eberhard karls university hospital
H指数:17
被引数:990

个人简介

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教育背景

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工作经历

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荣誉奖项

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Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing 177Lu-Based Peptide Receptor Radionuclide Therapy

基于177Lu的多模态深度学习在神经内分泌肿瘤患者进展无进展生存预测中的应用

Cancers
IF4.4
2026-04-080
OAAI
Simon Baur; Tristan Ruhwedel; Ekin Böke; Zuzanna Kobus; Gergana Lishkova; Christoph Wetz; Holger Amthauer; Christoph Roderburg; Frank Tacke; Julian M. Rogasch; Wojciech Samek; Henning Jann; Jackie Ma; Johannes Eschrich
Independent Validation of a Machine Learning Classifier for Predicting Mediastinal Lymph Node Metastases in Non-Small Cell Lung Cancer Using Routinely Obtainable [18F]FDG-PET/CT Parameters

使用常规可获得的[18F]FDG-PET/CT参数对预测非小细胞肺癌纵隔淋巴结转移的机器学习分类器进行独立验证

Current Oncology 2025, Vol. 32, Page 679
IF3.4
2025-12-010
OAAI
Agata Wdowiak; Julian M. M. Rogasch; Georg L. Baumgärtner; Nikolaj Frost; Jens-Carsten Rückert; Jens Neudecker; Sebastian Ochsenreither; Manuela Gerhold; Bernd Schmidt; Mareike Graff; Holger Amthauer; Tobias Penzkofer; Christian Furth
AI-driven body composition monitoring and its prognostic role in mCRPC undergoing lutetium-177 PSMA radioligand therapy: insights from a retrospective single-center analysis

人工智能驱动的体成分监测及其在经过钇-177 PSMA放射性配体治疗的患者mCRPC中的预后作用：一项回顾性单中心分析的见解

EJNMMI Research
IF3
2025-08-280
OAAI
Tristan Ruhwedel; Julian Rogasch; Markus Galler; Imke Schatka; Christoph Wetz; Christian Furth; Nadine Biernath; Maria De Santis; Seyd Shnayien; Johannes Kolck; Dominik Geisel; Holger Amthauer; Nick Lasse Beetz
A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in [18F] FDG PET/CT
European Journal of Nuclear Medicine and Molecular Imaging
IF7.6
2023-04-205
OAAI
Nikulin, Pavel; Zschaeck, Sebastian; Maus, Jens; Cegla, Paulina; Lombardo, Elia; Furth, Christian; Kazmierska, Joanna; Rogasch, Julian M. M.; Holzgreve, Adrien; Albert, Nathalie L.; Ferentinos, Konstantinos; Strouthos, Iosif; Hajiyianni, Marina; Marschner, Sebastian N.; Belka, Claus; Landry, Guillaume; Cholewinski, Witold; Kotzerke, Joerg; Hofheinz, Frank; van den Hoff, Joerg
A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [18F]FDG-PET/CT parameters
European Journal of Nuclear Medicine and Molecular Imaging
IF7.6
2023-02-239
OAAI
Rogasch, Julian M. M.; Michaels, Liza; Baumgaertner, Georg L. L.; Frost, Nikolaj; Rueckert, Jens-Carsten; Neudecker, Jens; Ochsenreither, Sebastian; Gerhold, Manuela; Schmidt, Bernd; Schneider, Paul; Amthauer, Holger; Furth, Christian; Penzkofer, Tobias
Inferring FDG-PET-positivity of lymph node metastases in proven lung cancer from contrast-enhanced CT using radiomics and machine learning

使用影像组学和机器学习从对比增强CT推断已证实的肺癌中淋巴结转移的fdg-pet阳性

EUROPEAN RADIOLOGY EXPERIMENTAL
IF3.6
2022-09-150
OAAI
Gorodetski, Boris; Becker, Philipp Hendrik; Baur, Alexander Daniel Jacques; Hartenstein, Alexander; Rogasch, Julian Manuel Michael; Furth, Christian; Amthauer, Holger; Hamm, Bernd; Makowski, Marcus; Penzkofer, Tobias

研究方向

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H
Holger Amthauer
H 指数:50论文数:472被引数:9,849
C
Christian Furth
H 指数:28论文数:161被引数:2,585
I
Imke Schatka
H 指数:19论文数:101被引数:1,155
F
Frank Hofheinz
H 指数:31论文数:145被引数:2,427
C
Christoph Wetz
H 指数:11论文数:46被引数:545
S
Sebastian Zschaeck
H 指数:21论文数:108被引数:1,611
I
Ingo G. Steffen
H 指数:38论文数:187被引数:4,533
W
Winfried Brenner
H 指数:48论文数:486被引数:9,368
G
Giulia Metzger
H 指数:4论文数:20被引数:81
J
Jonas Kaufmann
H 指数:1论文数:15被引数:11