FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310055273> ?p ?o ?g. }

• W4310055273 endingPage "22" @default.
• W4310055273 startingPage "13" @default.
• W4310055273 abstract "A noticeable proportion of larger brain metastases (BMs) are not locally controlled after stereotactic radiotherapy, and it may take months before local progression is apparent on standard follow-up imaging. This work proposes and investigates new explainable deep-learning models to predict the radiotherapy outcome for BM. A novel self-attention-guided 3D residual network is introduced for predicting the outcome of local failure (LF) after radiotherapy using the baseline treatment-planning MRI. The 3D self-attention modules facilitate capturing long-range intra/inter slice dependencies which are often overlooked by convolution layers. The proposed model was compared to a vanilla 3D residual network and 3D residual network with CBAM attention in terms of performance in outcome prediction. A training recipe was adapted for the outcome prediction models during pretraining and training the down-stream task based on the recently proposed big transfer principles. A novel 3D visualization module was coupled with the model to demonstrate the impact of various intra/peri-lesion regions on volumetric multi-channel MRI upon the network’s prediction. The proposed self-attention-guided 3D residual network outperforms the vanilla residual network and the residual network with CBAM attention in accuracy, F1-score, and AUC. The visualization results show the importance of peri-lesional characteristics on treatment-planning MRI in predicting local outcome after radiotherapy. This study demonstrates the potential of self-attention-guided deep-learning features derived from volumetric MRI in radiotherapy outcome prediction for BM. The insights obtained via the developed visualization module for individual lesions can possibly be applied during radiotherapy planning to decrease the chance of LF." @default.
• W4310055273 created "2022-11-30" @default.
• W4310055273 creator A5015138770 @default.
• W4310055273 creator A5017745259 @default.
• W4310055273 creator A5019474324 @default.
• W4310055273 creator A5054321389 @default.
• W4310055273 date "2023-01-01" @default.
• W4310055273 modified "2023-10-16" @default.
• W4310055273 title "A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI" @default.
• W4310055273 cites W1641498739 @default.
• W4310055273 cites W1861492603 @default.
• W4310055273 cites W1872520013 @default.
• W4310055273 cites W1883211128 @default.
• W4310055273 cites W1988807690 @default.
• W4310055273 cites W2011301426 @default.
• W4310055273 cites W2103004421 @default.
• W4310055273 cites W2108598243 @default.
• W4310055273 cites W2145376545 @default.
• W4310055273 cites W2194775991 @default.
• W4310055273 cites W2302255633 @default.
• W4310055273 cites W2396549126 @default.
• W4310055273 cites W2462010885 @default.
• W4310055273 cites W2492450141 @default.
• W4310055273 cites W2530952499 @default.
• W4310055273 cites W2533800772 @default.
• W4310055273 cites W2555516405 @default.
• W4310055273 cites W2592929672 @default.
• W4310055273 cites W2726463501 @default.
• W4310055273 cites W2751069891 @default.
• W4310055273 cites W2752782242 @default.
• W4310055273 cites W2766321139 @default.
• W4310055273 cites W2779252711 @default.
• W4310055273 cites W2888733760 @default.
• W4310055273 cites W2891434857 @default.
• W4310055273 cites W2892929309 @default.
• W4310055273 cites W2900422713 @default.
• W4310055273 cites W2907772920 @default.
• W4310055273 cites W2923027365 @default.
• W4310055273 cites W2955058313 @default.
• W4310055273 cites W2963091558 @default.
• W4310055273 cites W2979158002 @default.
• W4310055273 cites W2982220924 @default.
• W4310055273 cites W2983817809 @default.
• W4310055273 cites W2998471640 @default.
• W4310055273 cites W3001828378 @default.
• W4310055273 cites W3028283136 @default.
• W4310055273 cites W3030790048 @default.
• W4310055273 cites W3031003892 @default.
• W4310055273 cites W3085873496 @default.
• W4310055273 cites W3093114238 @default.
• W4310055273 cites W3094548069 @default.
• W4310055273 cites W3096609285 @default.
• W4310055273 cites W3097217077 @default.
• W4310055273 cites W3106266685 @default.
• W4310055273 cites W3117492306 @default.
• W4310055273 cites W3120795911 @default.
• W4310055273 cites W3138725786 @default.
• W4310055273 cites W3153465022 @default.
• W4310055273 cites W3159719186 @default.
• W4310055273 cites W3189074814 @default.
• W4310055273 cites W3201141954 @default.
• W4310055273 cites W3208983378 @default.
• W4310055273 cites W3212386989 @default.
• W4310055273 cites W4238100585 @default.
• W4310055273 cites W4283219562 @default.
• W4310055273 doi "https://doi.org/10.1109/jtehm.2022.3219625" @default.
• W4310055273 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36478770" @default.
• W4310055273 hasPublicationYear "2023" @default.
• W4310055273 type Work @default.
• W4310055273 citedByCount "3" @default.
• W4310055273 countsByYear W43100552732023 @default.
• W4310055273 crossrefType "journal-article" @default.
• W4310055273 hasAuthorship W4310055273A5015138770 @default.
• W4310055273 hasAuthorship W4310055273A5017745259 @default.
• W4310055273 hasAuthorship W4310055273A5019474324 @default.
• W4310055273 hasAuthorship W4310055273A5054321389 @default.
• W4310055273 hasBestOaLocation W43100552731 @default.
• W4310055273 hasConcept C108583219 @default.
• W4310055273 hasConcept C11413529 @default.
• W4310055273 hasConcept C119857082 @default.
• W4310055273 hasConcept C126838900 @default.
• W4310055273 hasConcept C154945302 @default.
• W4310055273 hasConcept C155512373 @default.
• W4310055273 hasConcept C36464697 @default.
• W4310055273 hasConcept C41008148 @default.
• W4310055273 hasConcept C509974204 @default.
• W4310055273 hasConcept C71924100 @default.
• W4310055273 hasConceptScore W4310055273C108583219 @default.
• W4310055273 hasConceptScore W4310055273C11413529 @default.
• W4310055273 hasConceptScore W4310055273C119857082 @default.
• W4310055273 hasConceptScore W4310055273C126838900 @default.
• W4310055273 hasConceptScore W4310055273C154945302 @default.
• W4310055273 hasConceptScore W4310055273C155512373 @default.
• W4310055273 hasConceptScore W4310055273C36464697 @default.
• W4310055273 hasConceptScore W4310055273C41008148 @default.
• W4310055273 hasConceptScore W4310055273C509974204 @default.
• W4310055273 hasConceptScore W4310055273C71924100 @default.
• W4310055273 hasFunder F4320313420 @default.

• next