37 related articles for article (PubMed ID: 33018167)
1. DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI.
Rashid T; Abdulkadir A; Nasrallah IM; Ware JB; Liu H; Spincemaille P; Romero JR; Bryan RN; Heckbert SR; Habes M
Sci Rep; 2021 Jul; 11(1):14124. PubMed ID: 34238951
[TBL] [Abstract][Full Text] [Related]
2. Automated Detection of Cerebral Microbleeds on Two-dimensional Gradient-recalled Echo T2* Weighted Images Using a Morphology Filter Bank and Convolutional Neural Network.
Nishioka N; Shimizu Y; Shirai T; Ochi H; Bito Y; Watanabe K; Kameda H; Harada T; Kudo K
Magn Reson Med Sci; 2024 Mar; ():. PubMed ID: 38494702
[TBL] [Abstract][Full Text] [Related]
3. Automatic detection of cerebral microbleeds using susceptibility weighted imaging and artificial intelligence.
Luo Y; Gao K; Fawaz M; Wu B; Zhong Y; Zhou Y; Haacke EM; Dai Y; Liu S
Quant Imaging Med Surg; 2024 Mar; 14(3):2640-2654. PubMed ID: 38545040
[TBL] [Abstract][Full Text] [Related]
4. A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city.
Dalal S; Lilhore UK; Radulescu M; Simaiya S; Jaglan V; Sharma A
Environ Sci Pollut Res Int; 2024 Jan; ():. PubMed ID: 38278999
[TBL] [Abstract][Full Text] [Related]
5. An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data.
Kamal MS; Chowdhury L; Nimmy SF; Hasan Rafi TH; Chae DK
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082672
[TBL] [Abstract][Full Text] [Related]
6. Deep learning-assisted IoMT framework for cerebral microbleed detection.
Ali Z; Naz S; Yasmin S; Bukhari M; Kim M
Heliyon; 2023 Dec; 9(12):e22879. PubMed ID: 38125517
[TBL] [Abstract][Full Text] [Related]
7. Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.
Sundaresan V; Arthofer C; Zamboni G; Murchison AG; Dineen RA; Rothwell PM; Auer DP; Wang C; Miller KL; Tendler BC; Alfaro-Almagro F; Sotiropoulos SN; Sprigg N; Griffanti L; Jenkinson M
Front Neuroinform; 2023; 17():1204186. PubMed ID: 37492242
[TBL] [Abstract][Full Text] [Related]
8. Cerebral Microbleeds Assessment and Quantification in COVID-19 Patients With Neurological Manifestations.
Napolitano A; Arrigoni A; Caroli A; Cava M; Remuzzi A; Longhi LG; Barletta A; Zangari R; Lorini FL; Sessa M; Gerevini S
Front Neurol; 2022; 13():884449. PubMed ID: 35677326
[TBL] [Abstract][Full Text] [Related]
9. Computed Tomography Image Features under Deep Learning Algorithm Applied in Staging Diagnosis of Bladder Cancer and Detection on Ceramide Glycosylation.
Xu Y; Lou J; Gao Z; Zhan M
Comput Math Methods Med; 2022; 2022():7979523. PubMed ID: 35035524
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning.
Ma T; Ma Z; Zhang X; Zhou F
Contrast Media Mol Imaging; 2021; 2021():9935754. PubMed ID: 34385900
[TBL] [Abstract][Full Text] [Related]
11. Novel Approaches to Detection of Cerebral Microbleeds: Single Deep Learning Model to Achieve a Balanced Performance.
Myung MJ; Lee KM; Kim HG; Oh J; Lee JY; Shin I; Kim EJ; Lee JS
J Stroke Cerebrovasc Dis; 2021 Sep; 30(9):105886. PubMed ID: 34175642
[TBL] [Abstract][Full Text] [Related]
12. Cerebral Microbleeds: Imaging and Clinical Significance.
Haller S; Vernooij MW; Kuijer JPA; Larsson EM; Jäger HR; Barkhof F
Radiology; 2018 Apr; 287(1):11-28. PubMed ID: 29558307
[TBL] [Abstract][Full Text] [Related]
13. Accuracy of artificial intelligence for the detection of intracranial hemorrhage and chronic cerebral microbleeds: a systematic review and pooled analysis.
Matsoukas S; Scaggiante J; Schuldt BR; Smith CJ; Chennareddy S; Kalagara R; Majidi S; Bederson JB; Fifi JT; Mocco J; Kellner CP
Radiol Med; 2022 Oct; 127(10):1106-1123. PubMed ID: 35962888
[TBL] [Abstract][Full Text] [Related]
14. A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection.
Al-Masni MA; Kim WR; Kim EY; Noh Y; Kim DH
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1055-1058. PubMed ID: 33018167
[TBL] [Abstract][Full Text] [Related]
15. Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach.
Al-Masni MA; Kim WR; Kim EY; Noh Y; Kim DH
Neuroimage Clin; 2020; 28():102464. PubMed ID: 33395960
[TBL] [Abstract][Full Text] [Related]
16. Detection of Cerebral Microbleeds in MR Images Using a Single-Stage Triplanar Ensemble Detection Network (TPE-Det).
Lee H; Kim JH; Lee S; Jung KJ; Kim WR; Noh Y; Kim EY; Kang KM; Sohn CH; Lee DY; Al-Masni MA; Kim DH
J Magn Reson Imaging; 2023 Jul; 58(1):272-283. PubMed ID: 36285604
[TBL] [Abstract][Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
