Results 211 to 220 of about 557,652 (262)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy. [PDF]

J Appl Clin Med Phys
Alzahrani NM, Henry AM, Al-Qaisieh BM, Murray LJ, Nix MG.   +4 more
europepmc   +1 more source

Crystal Growth Engineering for Dendrite‐Free Zinc Metal Plating

Advanced Materials, EarlyView.
This research employed the rare‐earth ion dysprosium (Dy) to modulate aqueous zinc (Zn) metal plating. Integrated multiscale experiments and computational modeling unveiled the preferential adsorption of Dy on specific crystal facets, which activated screw dislocation‐driven Zn growth.
Guifang Zeng, Sharona Horta, Qing Sun, Malik Dilshad Khan, Maria Ibáñez, Yuhang Han, Shang Wang, Longqiu Li, Lijie Ci, Yanhong Tian, Andreu Cabot   +10 more
wiley   +1 more source

C2FAU-Net: A Deep Learning Approach with Multi-scale Strategy for Automated Delineation of Organs-at-risk in Cervical Cancer High-dose Rate Brachytherapy. [PDF]

J Med Phys
Zhao M, He W, Dai J, Xie Y, Chen Z, Xiao N, Chen D, Liu S, Liang X, Liu C.   +9 more
europepmc   +1 more source

Time series analysis of dosimetric changes in target volumes and organs at risk monitored by cone beam computed tomography during radiotherapy for non-small-cell lung cancer. [PDF]

Phys Imaging Radiat Oncol
Suwanraksa C, Sukcharoen W, Phuakphiuwong S, Kooptisirirat S, Krutsuwan K, Nantasri C, Jakkrit A, Peerawong T, Kumwichar P.   +8 more
europepmc   +1 more source

Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers. [PDF]

Adv Radiat Oncol
Kalantar R, Ingle M, Rieu R, Curcean S, Winfield JM, Lin G, Messiou C, Lalondrelle S, Koh DM, Blackledge MD.   +9 more
europepmc   +1 more source

Target coverage and organs at risk dose in hypofractionated salvage radiotherapy after prostatectomy. [PDF]

Phys Imaging Radiat Oncol
Staal FHE, Janssen J, Krishnapillai S, Langendijk JA, Both S, Brouwer CL, Aluwini S.   +6 more
europepmc   +1 more source

Evaluating deep learning auto-contouring for lung radiation therapy: A review of accuracy, variability, efficiency and dose, in target volumes and organs at risk. [PDF]

Phys Imaging Radiat Oncol
Moran K, Poole C, Barrett S.
europepmc   +1 more source

Impact of deep inspiration breath hold, surface-guided radiotherapy, and daily CBCT on the organs at risk in breast cancer radiotherapy. [PDF]

Sci Rep
Rudat V, Zhao R, Wang B, Zhang L, Shi Y.
europepmc   +1 more source

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Delineation of organs at risk

Cancer/Radiothérapie, 2022
The delineation of organs at risk is the basis of radiotherapy oncologists' work. Indeed, the knowledge of this delineation enables to better identify the target volumes and to optimize dose distribution, involving the prognosis of the patients but also their future. The learning of this delineation must continue throughout the clinician's career. Some
G, Noël, C, Le Fèvre, D, Antoni
openaire   +2 more sources