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Percutaneous Image-Guided Cryoablation of Painful Metastases Involving Bone: Multicenter Trial
Percutaneous Image-Guided Cryoablation of Painful Metastases Involving Bone: Multicenter Trial
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Percutaneous Image-Guided Cryoablation of Painful Metastases Involving Bone: Multicenter Trial

CALLSTROM, Matthew R ; DUPUY, Damian E ; SCHMIT, Grant D ; GOETZ, Matthew P ; RUBIN, Joseph ; BROWN, Kathy J ; NOVOTNY, Paul J ; SLOAN, Jeff A ; SOLOMON, Stephen B ; BERES, Robert A ; LITTRUP, Peter J ; DAVIS, Kirkland W ; PAZ-FUMAGALLI, Ricardo ; HOFFMAN, Cheryl ; ATWELL, Thomas D ; CHARBONEAU, J. William

Cancer, 2013-03, Vol.119 (5), p.1033-1041 [Periódico revisado por pares]

Hoboken, NJ: Wiley-Blackwell

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12
Impact of Multiple En Face Image Averaging on Quantitative Assessment from Optical Coherence Tomography Angiography Images
Impact of Multiple En Face Image Averaging on Quantitative Assessment from Optical Coherence Tomography Angiography Images
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Impact of Multiple En Face Image Averaging on Quantitative Assessment from Optical Coherence Tomography Angiography Images

Uji, Akihito, MD, PhD ; Balasubramanian, Siva, MD, PhD ; Lei, Jianqin, MD ; Baghdasaryan, Elmira, MD ; Al-Sheikh, Mayss, MD ; Sadda, SriniVas R., MD

Ophthalmology (Rochester, Minn.), 2017-07, Vol.124 (7), p.944-952 [Periódico revisado por pares]

United States: Elsevier Inc

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13
A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification
A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification
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A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification

Wang, Wenju ; Dou, Shuguang ; Jiang, Zhongmin ; Sun, Liujie

Remote sensing (Basel, Switzerland), 2018-07, Vol.10 (7), p.1068 [Periódico revisado por pares]

MDPI AG

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14
Vision Transformers for Remote Sensing Image Classification
Vision Transformers for Remote Sensing Image Classification
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Vision Transformers for Remote Sensing Image Classification

Bazi, Yakoub ; Bashmal, Laila ; Rahhal, Mohamad M. Al ; Dayil, Reham Al ; Ajlan, Naif Al

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Periódico revisado por pares]

Basel: MDPI AG

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15
Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images
Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images
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Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images

Gupta, Dinank ; Kim, Michelle ; Vineberg, Karen A. ; Balter, James M.

Frontiers in oncology, 2019-09, Vol.9, p.964-964 [Periódico revisado por pares]

Frontiers Research Foundation

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16
Stokes‐Brinkman Flow Simulation Based on 3‐D μ‐CT Images of Porous Rock Using Grayscale Pore Voxel Permeability
Stokes‐Brinkman Flow Simulation Based on 3‐D μ‐CT Images of Porous Rock Using Grayscale Pore Voxel Permeability
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Stokes‐Brinkman Flow Simulation Based on 3‐D μ‐CT Images of Porous Rock Using Grayscale Pore Voxel Permeability

Kang, Dong Hun ; Yang, Eomzi ; Yun, Tae Sup

Water resources research, 2019-05, Vol.55 (5), p.4448-4464 [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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17
Segmentation of X-ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures
Segmentation of X-ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures
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Segmentation of X-ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures

Iassonov, Pavel ; Gebrenegus, Thomas ; Tuller, Markus

Water resources research, 2009-09, Vol.45 (9), p.W09415-n/a [Periódico revisado por pares]

American Geophysical Union

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18
Deep Learning Based Analysis of Histopathological Images of Breast Cancer
Deep Learning Based Analysis of Histopathological Images of Breast Cancer
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Deep Learning Based Analysis of Histopathological Images of Breast Cancer

Xie, Juanying ; Liu, Ran ; Luttrell, 4th, Joseph ; Zhang, Chaoyang

Frontiers in genetics, 2019-02, Vol.10, p.80-80 [Periódico revisado por pares]

Switzerland: Frontiers Media S.A

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19
Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations
Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations
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Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations

Allyn, Jérôme ; Allou, Nicolas ; Vidal, Charles ; Renou, Amélie ; Ferdynus, Cyril

Medicine (Baltimore), 2020-12, Vol.99 (50), p.e23568-e23568 [Periódico revisado por pares]

United States: Lippincott Williams & Wilkins

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20
Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images
Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images
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Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images

Nesbit, Paul ; Hugenholtz, Christopher

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.239 [Periódico revisado por pares]

Basel: MDPI AG

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