Results 211 to 220 of about 73,359 (292)

"Radiological Grading" for Preoperative Assessment of Central Cartilaginous Tumors. [PDF]

Cancers (Basel)
Miwa S, Hayashi K, Higuchi T, Yonezawa H, Morinaga S, Asano Y, Demura S.   +6 more
europepmc   +1 more source

OC-0401 Pre-treatment radiomic features predict individual nodal failure in head and neck cancer

, 2019
Ting Zhai, R.J.H.M. Steenbakkers, Lisanne V. van Dijk, J.G.M. Vemer-van den Hoek, H.P. Bijl, Margriet Dieters, Walter Noordzij, A. van der Schaaf, Nanna M. Sijtsema, Johannes A. Langendijk   +9 more
openalex   +1 more source

Predicting prostate cancer recurrence using an atlas‐based tumor control probability model

Medical Physics, Volume 53, Issue 1, January 2026.
Abstract Background Recurrence following prostate cancer (PCa) radiation therapy (RT) remains a persistent challenge. Although dose escalation can improve tumor control, it often results in increased toxicity. With an understanding of tumor heterogeneity, identification of radioresistant tumor subvolumes at risk of low tumor control probability (TCP ...
Kazi Ridita Mahtaba, Martin A. Ebert, Jeremy Booth, Leyla Moghaddasi, Robert Finnegan, Yutong Zhao, Burhan Javed, George Hruby, Annette Haworth   +8 more
wiley   +1 more source

Quantitative analysis for identifying molecular subtypes of small cell lung cancer via two-dimensional and three-dimensional contrast-enhanced computed tomography images: a preliminary study. [PDF]

J Thorac Dis
Jiang X, Liu L, Liu MW, Jiang JM, Hu SJ, Ren JL, Zhang L, Zhang JX, Yang L, Li M.   +9 more
europepmc   +1 more source

Summary from the 2025 International Society for Magnetic Resonance in Medicine workshop on body MRI: Unsolved problems and unmet needs

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 74-85, January 2026.
Abstract In March of 2025, 145 attendees convened at the Hub for Clinical Collaboration of the Children's Hospital of Philadelphia for the inaugural International Society for Magnetic Resonance in Medicine (ISMRM) Body MRI Study Group workshop entitled “Body MRI: Unsolved Problems and Unmet Needs.” Approximately 24% of the attendees were MD or MD/PhD's,
Elizabeth M. Hecht, Houchun Harry Hu, Suraj D. Serai, Holden H. Wu, Ryan L. Brunsing, Alexander R. Guimaraes, Sila Kurugol, Kristina I. Ringe, Ali B. Syed, on behalf of the ISMRM Body MRI Study Group   +9 more
wiley   +1 more source

Deep Learning HASTE for Upper Abdominal MRI: Improved Image Quality, Speed, and Energy Efficiency in a Prospective Study

NMR in Biomedicine, Volume 39, Issue 1, January 2026.
The DL HASTE sequence enhanced image quality and diagnostic confidence while minimizing artifacts, time, and energy costs, enabling a more accurate detection of pathologies than the conventional T2‐weighted product solution, with direct clinical consequences.
Jennifer Gotta, Ahmed Ait Bachir, Leon D. Gruenewald, Ralph Strecker, Dominik Nickel, Simon S. Martin, Christian Booz, Scherwin Mahmoudi, Saber Al‐Saleh, Daniel Dahm, Paul Konrad, Simon Bernatz, Philipp Reschke, Elena Höhne, Renate M. Hammerstingl, Katrin Eichler, Tatjana Gruber‐Rouh, Sebastian M. Haberkorn, Tommaso D'Angelo, Christophe Weber, Stefan Zeuzem, Armin Wiegering, Ralph Sinkus, Thomas J. Vogl, Vitali Koch   +24 more
wiley   +1 more source

The radiomics workflow adopted in this study.

Shengrong Long (13979871), Hongyu Xu (3066969), Mingdong Li (1703974), Lesheng Wang (13979874), Jiazhi Jiang (15324922), Wei Wei (21173), Xiang Li (114679)   +6 more
openalex   +1 more source

Application of radiomics-based image filtering to improve deformable image registration accuracy in thoracic images. [PDF]

Phys Imaging Radiat Oncol
Ieko Y, Kadoya N, Ariga H.
europepmc   +1 more source

Predicting breast cancer response to neoadjuvant chemotherapy with ultrasound-based deep learning radiomics models —— dual-center study [PDF]

J. Liu, Xiaoling Leng, Zhifan Yuan, Y. Li, Haibo Luo, Junjun Chen, Ruoxin Li, Xia Li, Zhizhong He, Qiao Zou, Changchun Wang   +10 more
openalex   +1 more source

Breast dynamic contrast-enhanced-magnetic resonance imaging and radiomics: State of art

, 2020
Alessia Angela Maria Orlando, Mariangela Dimarco, Roberto Cannella, Tommaso Vincenzo Bartolotta   +3 more
openalex   +2 more sources