131 related articles for article (PubMed ID: 37572087)
1. Federated Learning: A Cross-Institutional Feasibility Study of Deep Learning Based Intracranial Tumor Delineation Framework for Stereotactic Radiosurgery.
Lee WK; Hong JS; Lin YH; Lu YF; Hsu YY; Lee CC; Yang HC; Wu CC; Lu CF; Sun MH; Pan HC; Wu HM; Chung WY; Guo WY; You WC; Wu YT
J Magn Reson Imaging; 2024 Jun; 59(6):1967-1975. PubMed ID: 37572087
[TBL] [Abstract][Full Text] [Related]
2. Lesion delineation framework for vestibular schwannoma, meningioma and brain metastasis for gamma knife radiosurgery using stereotactic magnetic resonance images.
Lee WK; Yang HC; Lee CC; Lu CF; Wu CC; Chung WY; Wu HM; Guo WY; Wu YT
Comput Methods Programs Biomed; 2023 Feb; 229():107311. PubMed ID: 36577161
[TBL] [Abstract][Full Text] [Related]
3. Computer-based radiological longitudinal evaluation of meningiomas following stereotactic radiosurgery.
Shimol EB; Joskowicz L; Eliahou R; Shoshan Y
Int J Comput Assist Radiol Surg; 2018 Feb; 13(2):215-228. PubMed ID: 29032421
[TBL] [Abstract][Full Text] [Related]
4. Multi-institutional PET/CT image segmentation using federated deep transformer learning.
Shiri I; Razeghi B; Vafaei Sadr A; Amini M; Salimi Y; Ferdowsi S; Boor P; Gündüz D; Voloshynovskiy S; Zaidi H
Comput Methods Programs Biomed; 2023 Oct; 240():107706. PubMed ID: 37506602
[TBL] [Abstract][Full Text] [Related]
5. Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning.
Shiri I; Vafaei Sadr A; Akhavan A; Salimi Y; Sanaat A; Amini M; Razeghi B; Saberi A; Arabi H; Ferdowsi S; Voloshynovskiy S; Gündüz D; Rahmim A; Zaidi H
Eur J Nucl Med Mol Imaging; 2023 Mar; 50(4):1034-1050. PubMed ID: 36508026
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning Detection and Segmentation of Brain Arteriovenous Malformation on Magnetic Resonance Angiography.
Hong JS; You WC; Sun MH; Pan HC; Lin YH; Lu YF; Chen KM; Huang TH; Lee WK; Wu YT
J Magn Reson Imaging; 2024 Feb; 59(2):587-598. PubMed ID: 37220191
[TBL] [Abstract][Full Text] [Related]
7. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI.
Grøvik E; Yi D; Iv M; Tong E; Rubin D; Zaharchuk G
J Magn Reson Imaging; 2020 Jan; 51(1):175-182. PubMed ID: 31050074
[TBL] [Abstract][Full Text] [Related]
8. Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
Kang H; Witanto JN; Pratama K; Lee D; Choi KS; Choi SH; Kim KM; Kim MS; Kim JW; Kim YH; Park SJ; Park CK
J Magn Reson Imaging; 2023 Mar; 57(3):871-881. PubMed ID: 35775971
[TBL] [Abstract][Full Text] [Related]
9. Stratified assessment of an FDA-cleared deep learning algorithm for automated detection and contouring of metastatic brain tumors in stereotactic radiosurgery.
Wang JY; Qu V; Hui C; Sandhu N; Mendoza MG; Panjwani N; Chang YC; Liang CH; Lu JT; Wang L; Kovalchuk N; Gensheimer MF; Soltys SG; Pollom EL
Radiat Oncol; 2023 Apr; 18(1):61. PubMed ID: 37016416
[TBL] [Abstract][Full Text] [Related]
10. Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning.
Lee WK; Wu CC; Lee CC; Lu CF; Yang HC; Huang TH; Lin CY; Chung WY; Wang PS; Wu HM; Guo WY; Wu YT
Artif Intell Med; 2020 Jul; 107():101911. PubMed ID: 32828450
[TBL] [Abstract][Full Text] [Related]
11. 3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.
Park GE; Kim SH; Nam Y; Kang J; Park M; Kang BJ
J Magn Reson Imaging; 2024 Jun; 59(6):2252-2262. PubMed ID: 37596823
[TBL] [Abstract][Full Text] [Related]
12. A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery.
Liu Y; Stojadinovic S; Hrycushko B; Wardak Z; Lau S; Lu W; Yan Y; Jiang SB; Zhen X; Timmerman R; Nedzi L; Gu X
PLoS One; 2017; 12(10):e0185844. PubMed ID: 28985229
[TBL] [Abstract][Full Text] [Related]
13. Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework.
Shiri I; Vafaei Sadr A; Amini M; Salimi Y; Sanaat A; Akhavanallaf A; Razeghi B; Ferdowsi S; Saberi A; Arabi H; Becker M; Voloshynovskiy S; Gündüz D; Rahmim A; Zaidi H
Clin Nucl Med; 2022 Jul; 47(7):606-617. PubMed ID: 35442222
[TBL] [Abstract][Full Text] [Related]
14. Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.
Perkuhn M; Stavrinou P; Thiele F; Shakirin G; Mohan M; Garmpis D; Kabbasch C; Borggrefe J
Invest Radiol; 2018 Nov; 53(11):647-654. PubMed ID: 29863600
[TBL] [Abstract][Full Text] [Related]
15. Patient-specific geometrical distortion corrections of MRI images improve dosimetric planning accuracy of vestibular schwannoma treated with gamma knife stereotactic radiosurgery.
Safari M; Fatemi A; Afkham Y; Archambault L
J Appl Clin Med Phys; 2023 Oct; 24(10):e14072. PubMed ID: 37345614
[TBL] [Abstract][Full Text] [Related]
16. Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.
Wang T; Lei Y; Tian S; Jiang X; Zhou J; Liu T; Dresser S; Curran WJ; Shu HK; Yang X
Med Phys; 2019 Jul; 46(7):3133-3141. PubMed ID: 31050804
[TBL] [Abstract][Full Text] [Related]
17. Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors.
Zhou Z; Sanders JW; Johnson JM; Gule-Monroe MK; Chen MM; Briere TM; Wang Y; Son JB; Pagel MD; Li J; Ma J
Radiology; 2020 May; 295(2):407-415. PubMed ID: 32181729
[TBL] [Abstract][Full Text] [Related]
18. Study on dosimetric parameters for stereotactic radiosurgery and intensity-modulated radiotherapy.
Sankaranarayanan V; Ganesan S; Oommen S; Padmanaban TK; Stumpf J; Ayyangar KM
Med Dosim; 2003; 28(2):85-90. PubMed ID: 12804705
[TBL] [Abstract][Full Text] [Related]
19. Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data.
Bousabarah K; Ruge M; Brand JS; Hoevels M; Rueß D; Borggrefe J; Große Hokamp N; Visser-Vandewalle V; Maintz D; Treuer H; Kocher M
Radiat Oncol; 2020 Apr; 15(1):87. PubMed ID: 32312276
[TBL] [Abstract][Full Text] [Related]
20. Automated Meningioma Segmentation in Multiparametric MRI : Comparable Effectiveness of a Deep Learning Model and Manual Segmentation.
Laukamp KR; Pennig L; Thiele F; Reimer R; Görtz L; Shakirin G; Zopfs D; Timmer M; Perkuhn M; Borggrefe J
Clin Neuroradiol; 2021 Jun; 31(2):357-366. PubMed ID: 32060575
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
