131 related articles for article (PubMed ID: 36474089)
1. Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
Yeung M; Rundo L; Nan Y; Sala E; Schönlieb CB; Yang G
J Digit Imaging; 2023 Apr; 36(2):739-752. PubMed ID: 36474089
[TBL] [Abstract][Full Text] [Related]
2. Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.
Yeung M; Sala E; Schönlieb CB; Rundo L
Comput Med Imaging Graph; 2022 Jan; 95():102026. PubMed ID: 34953431
[TBL] [Abstract][Full Text] [Related]
3. Calibrating segmentation networks with margin-based label smoothing.
Murugesan B; Liu B; Galdran A; Ayed IB; Dolz J
Med Image Anal; 2023 Jul; 87():102826. PubMed ID: 37146441
[TBL] [Abstract][Full Text] [Related]
4. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
5. Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy.
Yeung M; Sala E; Schönlieb CB; Rundo L
Comput Biol Med; 2021 Oct; 137():104815. PubMed ID: 34507156
[TBL] [Abstract][Full Text] [Related]
6. Brain tumor segmentation using holistically nested neural networks in MRI images.
Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
[TBL] [Abstract][Full Text] [Related]
7. The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.
Kessler DA; MacKay JW; Crowe VA; Henson FMD; Graves MJ; Gilbert FJ; Kaggie JD
Comput Med Imaging Graph; 2020 Dec; 86():101793. PubMed ID: 33075675
[TBL] [Abstract][Full Text] [Related]
8. CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.
Yang Z; Zhuang X; Mishra V; Sreenivasan K; Cordes D
Neuroimage; 2020 Sep; 218():116947. PubMed ID: 32474081
[TBL] [Abstract][Full Text] [Related]
9. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Liu Y; Zhang M; Zhong Z; Zeng X
Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
[TBL] [Abstract][Full Text] [Related]
10. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
11. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
Lavdas I; Glocker B; Kamnitsas K; Rueckert D; Mair H; Sandhu A; Taylor SA; Aboagye EO; Rockall AG
Med Phys; 2017 Oct; 44(10):5210-5220. PubMed ID: 28756622
[TBL] [Abstract][Full Text] [Related]
12. Combo loss: Handling input and output imbalance in multi-organ segmentation.
Taghanaki SA; Zheng Y; Kevin Zhou S; Georgescu B; Sharma P; Xu D; Comaniciu D; Hamarneh G
Comput Med Imaging Graph; 2019 Jul; 75():24-33. PubMed ID: 31129477
[TBL] [Abstract][Full Text] [Related]
13. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
[TBL] [Abstract][Full Text] [Related]
14. Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks.
Steybe D; Poxleitner P; Metzger MC; Brandenburg LS; Schmelzeisen R; Bamberg F; Tran PH; Kellner E; Reisert M; Russe MF
Int J Comput Assist Radiol Surg; 2022 Nov; 17(11):2093-2101. PubMed ID: 35665881
[TBL] [Abstract][Full Text] [Related]
15. Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout.
Klanecek Z; Wagner T; Wang YK; Cockmartin L; Marshall N; Schott B; Deatsch A; Studen A; Hertl K; Jarm K; Krajc M; Vrhovec M; Bosmans H; Jeraj R
Phys Med Biol; 2023 May; 68(11):. PubMed ID: 37137317
[No Abstract] [Full Text] [Related]
16. A robust and automatic CT-3D ultrasound registration method based on segmentation, context, and edge hybrid metric.
He B; Zhao S; Dai Y; Wu J; Luo H; Guo J; Ni Z; Wu T; Kuang F; Jiang H; Zhang Y; Jia F
Med Phys; 2023 Oct; 50(10):6243-6258. PubMed ID: 36975007
[TBL] [Abstract][Full Text] [Related]
17. Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
Mehrtash A; Wells WM; Tempany CM; Abolmaesumi P; Kapur T
IEEE Trans Med Imaging; 2020 Dec; 39(12):3868-3878. PubMed ID: 32746129
[TBL] [Abstract][Full Text] [Related]
18. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
[TBL] [Abstract][Full Text] [Related]
19. Segmentation and volume quantification of epicardial adipose tissue in computed tomography images.
Li Y; Song S; Sun Y; Bao N; Yang B; Xu L
Med Phys; 2022 Oct; 49(10):6477-6490. PubMed ID: 36047382
[TBL] [Abstract][Full Text] [Related]
20. A sensitivity analysis of probability maps in deep-learning-based anatomical segmentation.
Bice N; Kirby N; Li R; Nguyen D; Bahr T; Kabat C; Myers P; Papanikolaou N; Fakhreddine M
J Appl Clin Med Phys; 2021 Aug; 22(8):105-119. PubMed ID: 34231950
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
