Detalhe da pesquisa
1.
Deep Learning-Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast-Enhanced MRI.
J Magn Reson Imaging
; 2024 Jun 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38826142
2.
3D whole brain segmentation using spatially localized atlas network tiles.
Neuroimage
; 194: 105-119, 2019 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30910724
3.
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.
IEEE Trans Med Imaging
; 43(5): 1995-2009, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38224508
4.
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Med Image Anal
; 90: 102939, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37725868
5.
Segmentation of malignant gliomas through remote collaboration and statistical fusion.
Med Phys
; 39(10): 5981-9, 2012 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-23039636
6.
A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.
Radiat Oncol
; 17(1): 129, 2022 Jul 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-35869525
7.
Renal Cortex, Medulla and Pelvicaliceal System Segmentation on Arterial Phase CT Images with Random Patch-based Networks.
Proc SPIE Int Soc Opt Eng
; 115962021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34531632
8.
Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer.
J Nucl Med
; 61(12): 1786-1792, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32332147
9.
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT.
ArXiv
; 2020 Nov 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-32550252
10.
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT.
Radiol Artif Intell
; 2(4): e200048, 2020 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-33928255
11.
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
IEEE Trans Med Imaging
; 38(5): 1185-1196, 2019 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-30442602
12.
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.
IEEE Trans Biomed Eng
; 65(2): 336-343, 2018 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-29364118
13.
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.
IEEE Trans Med Imaging
; 2018 Oct 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-30334788
14.
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.
Proc SPIE Int Soc Opt Eng
; 105742018 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-29887666
15.
Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly.
Proc SPIE Int Soc Opt Eng
; 101332017 Feb 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-28649156
16.
Multi-Atlas Spleen Segmentation on CT Using Adaptive Context Learning.
Proc SPIE Int Soc Opt Eng
; 101332017 Feb 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-28736468
17.
Correction: A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.
Radiat Oncol
; 17(1): 149, 2022 Aug 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-35999593
18.
Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level Set.
Proc SPIE Int Soc Opt Eng
; 97842016 Feb 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-27127333
19.
Abdomen and spinal cord segmentation with augmented active shape models.
J Med Imaging (Bellingham)
; 3(3): 036002, 2016 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-27610400
20.
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE Trans Biomed Eng
; 63(8): 1563-72, 2016 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-27254856