210 related articles for article (PubMed ID: 31502996)
1. Detection and Monitoring of Thermal Lesions Induced by Microwave Ablation Using Ultrasound Imaging and Convolutional Neural Networks.
Zhang S; Wu S; Shang S; Qin X; Jia X; Li D; Cui Z; Xu T; Niu G; Bouakaz A; Wan M
IEEE J Biomed Health Inform; 2020 Apr; 24(4):965-973. PubMed ID: 31502996
[TBL] [Abstract][Full Text] [Related]
2. Feasibility of Using Ultrasonic Nakagami Imaging for Monitoring Microwave-Induced Thermal Lesion in Ex Vivo Porcine Liver.
Zhang S; Han Y; Zhu X; Shang S; Huang G; Zhang L; Niu G; Wang S; He X; Wan M
Ultrasound Med Biol; 2017 Feb; 43(2):482-493. PubMed ID: 27894833
[TBL] [Abstract][Full Text] [Related]
3. [An
Wu S; Shang S; Wang X; Wan M; Zhang S
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Jun; 36(3):371-378. PubMed ID: 31232538
[TBL] [Abstract][Full Text] [Related]
4. Monitoring Microwave Ablation Using Ultrasound Echo Decorrelation Imaging: An
Zhou Z; Wang Y; Song S; Wu W; Wu S; Tsui PH
Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30823609
[TBL] [Abstract][Full Text] [Related]
5. Ex Vivo and In Vivo Monitoring and Characterization of Thermal Lesions by High-Intensity Focused Ultrasound and Microwave Ablation Using Ultrasonic Nakagami Imaging.
Zhang S; Shang S; Han Y; Gu C; Wu S; Liu S; Niu G; Bouakaz A; Wan M
IEEE Trans Med Imaging; 2018 Jul; 37(7):1701-1710. PubMed ID: 29969420
[TBL] [Abstract][Full Text] [Related]
6. Ultrasound Entropy Imaging for Detection and Monitoring of Thermal Lesion During Microwave Ablation of Liver.
Li X; Jia X; Shen T; Wang M; Yang G; Wang H; Sun Q; Wan M; Zhang S
IEEE J Biomed Health Inform; 2022 Aug; 26(8):4056-4066. PubMed ID: 35417359
[TBL] [Abstract][Full Text] [Related]
7. In vivo monitoring of microwave ablation in a porcine model using ultrasonic differential attenuation coefficient intercept imaging.
Zhang S; Xu R; Shang S; Han Y; Liu S; Xu T; Gu C; Zhu X; Niu G; Wan M
Int J Hyperthermia; 2018 Dec; 34(8):1157-1170. PubMed ID: 29402150
[TBL] [Abstract][Full Text] [Related]
8. Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images.
Yagasaki S; Koizumi N; Nishiyama Y; Kondo R; Imaizumi T; Matsumoto N; Ogawa M; Numata K
Int J Comput Assist Radiol Surg; 2020 Dec; 15(12):1989-1995. PubMed ID: 33009985
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of the correlation between infrared thermal imaging-magnetic resonance imaging-pathology of microwave ablation of lesions in rabbit lung tumors.
Chen J; Lin XN; Miao XH; Chen J; Lin RX; Su HY; Lin JB; Lin ZY
J Cancer Res Ther; 2020 Sep; 16(5):1129-1133. PubMed ID: 33004759
[TBL] [Abstract][Full Text] [Related]
10. Monitoring Microwave Ablation of Ex Vivo Bovine Liver Using Ultrasonic Attenuation Imaging.
Samimi K; White JK; Brace CL; Varghese T
Ultrasound Med Biol; 2017 Jul; 43(7):1441-1451. PubMed ID: 28454843
[TBL] [Abstract][Full Text] [Related]
11. Monitoring of thermal lesions in ultrasound using fully convolutional neural networks: A preclinical study.
Jia X; Li X; Shen T; Zhou L; Yang G; Wang F; Zhu X; Wan M; Li S; Zhang S
Ultrasonics; 2023 Apr; 130():106929. PubMed ID: 36669371
[TBL] [Abstract][Full Text] [Related]
12. Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique.
Khoshdel V; Ashraf A; LoVetri J
Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31546925
[TBL] [Abstract][Full Text] [Related]
13. Radiofrequency and microwave ablation in a porcine liver model: non-contrast CT and ultrasound radiologic-pathologic correlation.
Ziemlewicz TJ; Hinshaw JL; Lubner MG; Knott EA; Willey BJ; Lee FT; Brace CL
Int J Hyperthermia; 2020; 37(1):799-807. PubMed ID: 32620055
[No Abstract] [Full Text] [Related]
14. Monitoring microwave ablation using ultrasound homodyned K imaging based on the noise-assisted correlation algorithm: An ex vivo study.
Song S; Tsui PH; Wu W; Wu S; Zhou Z
Ultrasonics; 2021 Feb; 110():106287. PubMed ID: 33091652
[TBL] [Abstract][Full Text] [Related]
15. Enhanced lesion-to-bubble ratio on ultrasonic Nakagami imaging for monitoring of high-intensity focused ultrasound.
Zhang S; Li C; Zhou F; Wan M; Wang S
J Ultrasound Med; 2014 Jun; 33(6):959-70. PubMed ID: 24866603
[TBL] [Abstract][Full Text] [Related]
16. Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation.
Essa E; Aldesouky D; Hussein SE; Rashad MZ
Med Biol Eng Comput; 2020 Sep; 58(9):2161-2175. PubMed ID: 32681214
[TBL] [Abstract][Full Text] [Related]
17. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
Tang P; Liang Q; Yan X; Xiang S; Zhang D
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
[TBL] [Abstract][Full Text] [Related]
18. Ultrasonic Nakagami Imaging of High-intensity Focused Ultrasound-induced Thermal Lesions in Porcine Livers: Ex Vivo Study.
Huang SM; Liu HL; Li DW; Li ML
Ultrason Imaging; 2018 Sep; 40(5):310-324. PubMed ID: 29857786
[TBL] [Abstract][Full Text] [Related]
19. Liver disease classification from ultrasound using multi-scale CNN.
Che H; Brown LG; Foran DJ; Nosher JL; Hacihaliloglu I
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1537-1548. PubMed ID: 34097226
[TBL] [Abstract][Full Text] [Related]
20. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
Hamm CA; Wang CJ; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Duncan JS; Weinreb JC; Chapiro J; Letzen B
Eur Radiol; 2019 Jul; 29(7):3338-3347. PubMed ID: 31016442
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
