Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Artigo
|
![]() |
[ 18 F]-FDG PET radiomic model as prognostic biomarker in diffuse large B-cell lymphomaTravaini, Laura Lavinia ; Botta, Francesca ; Derenzini, Enrico ; Lo Presti, Giuliana ; Ferrari, Mahila Esmeralda ; Airò Farulla, Lighea Simona ; Radice, Tommaso ; Mazzara, Saveria ; Tarella, Corrado ; Pileri, Stefano ; Raimondi, Sara ; Ceci, FrancescoHematological oncology, 2023-10, Vol.41 (4), p.674-682 [Periódico revisado por pares]England: Wiley Subscription Services, IncTexto completo disponível |
2 |
Material Type: Artigo
|
![]() |
Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancerShayesteh, Sajad ; Nazari, Mostafa ; Salahshour, Ali ; Sandoughdaran, Saleh ; Hajianfar, Ghasem ; Khateri, Maziar ; Yaghobi Joybari, Ali ; Jozian, Fariba ; Fatehi Feyzabad, Seyed Hasan ; Arabi, Hossein ; Shiri, Isaac ; Zaidi, HabibMedical physics (Lancaster), 2021-07, Vol.48 (7), p.3691-3701 [Periódico revisado por pares]United StatesTexto completo disponível |
3 |
Material Type: Artigo
|
![]() |
Radiomics Feature Activation Maps as a New Tool for Signature InterpretabilityVuong, Diem ; Tanadini-Lang, Stephanie ; Wu, Ze ; Marks, Robert ; Unkelbach, Jan ; Hillinger, Sven ; Eboulet, Eric Innocents ; Thierstein, Sandra ; Peters, Solange ; Pless, Miklos ; Guckenberger, Matthias ; Bogowicz, MartaFrontiers in oncology, 2020-12, Vol.10, p.578895-578895 [Periódico revisado por pares]Switzerland: Frontiers Media S.ATexto completo disponível |
4 |
Material Type: Artigo
|
![]() |
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomicsSollini, Martina ; Antunovic, Lidija ; Chiti, Arturo ; Kirienko, MargaritaEuropean journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2656-2672 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
5 |
Material Type: Artigo
|
![]() |
Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisisZwanenburg, AlexEuropean journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2638-2655 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
6 |
Material Type: Artigo
|
![]() |
Deep learning radiomics on shear wave elastography and b-mode ultrasound videos of diaphragm for weaning outcome predictionLi, Changchun ; Liu, Yan ; Dong, Rui ; Zhang, Tianjie ; Song, Ye ; Zhang, QiMedical engineering & physics, 2024-01, Vol.123, p.104090-104090, Article 104090 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
7 |
Material Type: Artigo
|
![]() |
Using radiomics-based modelling to predict individual progression from mild cognitive impairment to Alzheimer’s diseaseJiang, Jiehui ; Wang, Min ; Alberts, Ian ; Sun, Xiaoming ; Li, Taoran ; Rominger, Axel ; Zuo, Chuantao ; Han, Ying ; Shi, Kuangyu ; Initiative, for the Alzheimer’s Disease NeuroimagingEuropean journal of nuclear medicine and molecular imaging, 2022-06, Vol.49 (7), p.2163-2173 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
8 |
Material Type: Artigo
|
![]() |
Technical Note: ROdiomiX: A validated software for radiomics analysis of medical images in radiation oncologyBagher‐Ebadian, Hassan ; Chetty, Indrin J.Medical physics (Lancaster), 2021-01, Vol.48 (1), p.354-365 [Periódico revisado por pares]United StatesTexto completo disponível |
9 |
Material Type: Artigo
|
![]() |
MRI-based delta-radiomics are predictive of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancerWan, Lijuan ; Peng, Wenjing ; Zou, Shuangmei ; Ye, Feng ; Geng, Yayuan ; Ouyang, Han ; Zhao, Xinming ; Zhang, HongmeiAcademic radiology, 2021-11, Vol.28, p.S95-S104 [Periódico revisado por pares]Elsevier IncTexto completo disponível |
10 |
Material Type: Artigo
|
![]() |
Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CTBrown, P. J. ; Zhong, J. ; Frood, R. ; Currie, S. ; Gilbert, A. ; Appelt, A. L. ; Sebag-Montefiore, D. ; Scarsbrook, A.European journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2790-2799 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |