120 related articles for article (PubMed ID: 37464612)
1. Snake net with a neural network for detecting multiple phases in the phase diagram.
Sun X; Yang H; Wu N; Scott TC; Zhang J; Zhang W
Phys Rev E; 2023 Jun; 107(6-2):065303. PubMed ID: 37464612
[TBL] [Abstract][Full Text] [Related]
2. Automatic Initialization Active Contour Model for the Segmentation of the Chest Wall on Chest CT.
Choi S; Kim C
Healthc Inform Res; 2010 Mar; 16(1):36-45. PubMed ID: 21818422
[TBL] [Abstract][Full Text] [Related]
3. Multicritical bifurcation and first-order phase transitions in a three-dimensional Blume-Capel antiferromagnet.
Silva D; Buendía GM; Rikvold PA
Phys Rev E; 2023 Aug; 108(2-1):024122. PubMed ID: 37723808
[TBL] [Abstract][Full Text] [Related]
4. Discriminative Cooperative Networks for Detecting Phase Transitions.
Liu YH; van Nieuwenburg EPL
Phys Rev Lett; 2018 Apr; 120(17):176401. PubMed ID: 29756840
[TBL] [Abstract][Full Text] [Related]
5. Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination.
Hu W; Singh RRP; Scalettar RT
Phys Rev E; 2017 Jun; 95(6-1):062122. PubMed ID: 28709189
[TBL] [Abstract][Full Text] [Related]
6. A neural network-based stochastic active contour model (NNS-SNAKE) for contour finding of distinct features.
Chiou GI; Hwang JN
IEEE Trans Image Process; 1995; 4(10):1407-16. PubMed ID: 18291972
[TBL] [Abstract][Full Text] [Related]
7. Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system.
Casert C; Vieijra T; Nys J; Ryckebusch J
Phys Rev E; 2019 Feb; 99(2-1):023304. PubMed ID: 30934273
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning Out-of-Equilibrium Phases of Matter.
Venderley J; Khemani V; Kim EA
Phys Rev Lett; 2018 Jun; 120(25):257204. PubMed ID: 29979078
[TBL] [Abstract][Full Text] [Related]
9. Complete analysis of ensemble inequivalence in the Blume-Emery-Griffiths model.
Hovhannisyan VV; Ananikian NS; Campa A; Ruffo S
Phys Rev E; 2017 Dec; 96(6-1):062103. PubMed ID: 29347411
[TBL] [Abstract][Full Text] [Related]
10. A dual-snake model of high penetrability for ultrasound image boundary extraction.
Chen CM; Lu HH; Hsiao AT
Ultrasound Med Biol; 2001 Dec; 27(12):1651-65. PubMed ID: 11839410
[TBL] [Abstract][Full Text] [Related]
11. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
12. Comparison of active contour models for image segmentation in X-ray coronary angiogram images.
Nirmala Devi S; Kumaravel N
J Med Eng Technol; 2008; 32(5):408-18. PubMed ID: 18821418
[TBL] [Abstract][Full Text] [Related]
13. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
Guo X; Schwartz LH; Zhao B
Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
[TBL] [Abstract][Full Text] [Related]
14. Machine learning of phase transitions in the percolation and XY models.
Zhang W; Liu J; Wei TC
Phys Rev E; 2019 Mar; 99(3-1):032142. PubMed ID: 30999394
[TBL] [Abstract][Full Text] [Related]
15. Multiple contour extraction from graylevel images using an artificial neural network.
Venkatesh YV; Raja SK; Ramya N
IEEE Trans Image Process; 2006 Apr; 15(4):892-9. PubMed ID: 16579376
[TBL] [Abstract][Full Text] [Related]
16. Detection of the carpal bone contours from 3-D MR images of the wrist using a planar radial scale-space snake.
Snel JG; Venema HW; Grimbergen CA
IEEE Trans Med Imaging; 1998 Dec; 17(6):1063-72. PubMed ID: 10048863
[TBL] [Abstract][Full Text] [Related]
17. Asymmetric simple exclusion process with position-dependent hopping rates: Phase diagram from boundary-layer analysis.
Mukherji S
Phys Rev E; 2018 Mar; 97(3-1):032130. PubMed ID: 29776090
[TBL] [Abstract][Full Text] [Related]
18. Three-electron spin qubits.
Russ M; Burkard G
J Phys Condens Matter; 2017 Oct; 29(39):393001. PubMed ID: 28562367
[TBL] [Abstract][Full Text] [Related]
19. [Medical image segmentation based on the minimum variation snake model].
Zhou C; Yu S
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Feb; 24(1):32-5. PubMed ID: 17333887
[TBL] [Abstract][Full Text] [Related]
20. Unsupervised learning of phase transitions: From principal component analysis to variational autoencoders.
Wetzel SJ
Phys Rev E; 2017 Aug; 96(2-1):022140. PubMed ID: 28950564
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]