Guest Editorial: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 153, doi. 10.1049/htl.2019.0102
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Works matching IS 20533713 AND DT 2019 AND VI 6 AND IP 6
Results: 25
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Endoscopic video defogging using luminance blending.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 280, doi. 10.1049/htl.2019.0095
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3
Marker-less real-time intra-operative camera and hand-eye calibration procedure for surgical augmented reality.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 255, doi. 10.1049/htl.2019.0094
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4
Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 261, doi. 10.1049/htl.2019.0091
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5
Automatic detection of calcium phosphate deposit plugs at the terminal ends of kidney tubules.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 271, doi. 10.1049/htl.2019.0086
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6
Weakly supervised segmentation for real-time surgical tool tracking.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 231, doi. 10.1049/htl.2019.0083
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7
Towards AR-assisted visualisation and guidance for imaging of dental decay.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 243, doi. 10.1049/htl.2019.0082
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8
Development and face validation of ultrasound-guided renal biopsy virtual trainer.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 210, doi. 10.1049/htl.2019.0081
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9
Determining blood flow direction from short neurovascular surgical microscope videos.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 191, doi. 10.1049/htl.2019.0080
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10
Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 237, doi. 10.1049/htl.2019.0079
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11
Deep segmentation leverages geometric pose estimation in computer-aided total knee arthroplasty.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 226, doi. 10.1049/htl.2019.0078
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12
Learning the representation of instrument images in laparoscopy videos.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 197, doi. 10.1049/htl.2019.0077
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13
Deep learning approach for automatic out-of-plane needle localisation for semi-automatic ultrasound probe calibration.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 204, doi. 10.1049/htl.2019.0075
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14
Virtual linear measurement system for accurate quantification of medical images.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 220, doi. 10.1049/htl.2019.0074
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15
Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 187, doi. 10.1049/htl.2019.0073
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16
Probability analysis of axillary lymph node metastasis in breast cancer patients using particle space-time distribution model.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 266, doi. 10.1049/htl.2019.0072
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17
Realistic endoscopic image generation method using virtual-to-real image-domain translation.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 214, doi. 10.1049/htl.2019.0071
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18
Simultaneous shape and camera-projector parameter estimation for 3D endoscopic system using CNN-based grid-oneshot scan.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 249, doi. 10.1049/htl.2019.0070
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19
Real-time surgical instrument tracking in robot-assisted surgery using multi-domain convolutional neural network.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 159, doi. 10.1049/htl.2019.0068
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20
Morphological active contour without edge-based model for real-time and non-rigid uterine fibroid tracking in HIFU treatment.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 172, doi. 10.1049/htl.2019.0067
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21
Upper gastrointestinal anatomy detection with multi-task convolutional neural networks.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 176, doi. 10.1049/htl.2019.0066
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22
Non-invasive reconstruction of dynamic myocardial transmembrane potential with graph-based total variation constraints.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 181, doi. 10.1049/htl.2019.0065
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23
Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 275, doi. 10.1049/htl.2019.0064
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24
Details preserved unsupervised depth estimation by fusing traditional stereo knowledge from laparoscopic images.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 154, doi. 10.1049/htl.2019.0063
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25
HoloInjection: augmented reality support for CT-guided spinal needle injections.
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- Healthcare Technology Letters, 2019, v. 6, n. 6, p. 165, doi. 10.1049/htl.2019.0062
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