Mr. Ange Lou Profile

Ange Lou

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 2 April 2024 Poster + Paper

Leveraging sinusoidal representation networks to predict fMRI signals from EEG

Yamin Li, Ange Lou, Ziyuan Xu, Shiyu Wang, Catie Chang

Proceedings Volume 12926, 129263A (2024) https://doi.org/10.1117/12.3007677

KEYWORDS: Functional magnetic resonance imaging, Electroencephalography, Data modeling, Brain, Machine learning, Deep learning, Neuroimaging, Performance modeling, Neural networks

Read Abstract +

Proceedings Article | 2 April 2024 Presentation + Paper

FNPC-SAM: uncertainty-guided false negative/positive control for SAM on noisy medical images

Xing Yao, Han Liu, Dewei Hu, Daiwei Lu, Ange Lou, Hao Li, Ruining Deng, Gabriel Arenas, Baris Oguz, Nadav Schwartz, Brett Byram, Ipek Oguz

Proceedings Volume 12926, 1292602 (2024) https://doi.org/10.1117/12.3006867

KEYWORDS: Image segmentation, Medical imaging, Kidney, Ultrasonography, Monte Carlo methods, Performance modeling, Image enhancement, Data modeling, Reliability, Uncertainty analysis

Read Abstract +

Proceedings Article | 29 March 2024 Poster + Paper

Monocular microscope to CT registration using pose estimation of the incus for augmented reality cochlear implant surgery

Yike Zhang, Eduardo Davalos Anaya, Dingjie Su, Ange Lou, Jack Noble

Proceedings Volume 12928, 129282I (2024) https://doi.org/10.1117/12.3008830

KEYWORDS: Microscopes, Pose estimation, Augmented reality, Surgery, Image registration, Computed tomography, Cochlea, Video, Image segmentation, Education and training

Read Abstract +

Proceedings Article | 29 March 2024 Presentation + Paper

SAMSNeRF: segment anything model (SAM) guided dynamic surgical scene reconstruction by neural radiance field (NeRF)

Ange Lou, Yamin Li, Xing Yao, Yike Zhang, Jack Noble

Proceedings Volume 12928, 1292806 (2024) https://doi.org/10.1117/12.3008392

KEYWORDS: Image segmentation, 3D modeling, Volume rendering

Read Abstract +

Proceedings Article | 29 March 2024 Presentation + Paper

WS-SfMLearner: self-supervised monocular depth and ego-motion estimation on surgical videos with unknown camera parameters

Ange Lou, Jack Noble

Proceedings Volume 12928, 129280L (2024) https://doi.org/10.1117/12.3008390

KEYWORDS: Cameras, Video, Depth maps

Read Abstract +

Proceedings Article | 3 April 2023 Presentation + Paper

Self-supervised surgical instrument 3D reconstruction from a single camera image

Ange Lou, Xing Yao, Ziteng Liu, Jintong Han, Jack Noble

Proceedings Volume 12466, 124660F (2023) https://doi.org/10.1117/12.2655618

KEYWORDS: Equipment, 3D modeling, Image segmentation, Image restoration, Education and training, Cameras, 3D mask effects, 3D image reconstruction, Surgery, 3D image processing

Read Abstract +

Proceedings Article | 3 April 2023 Presentation + Paper

Novel application of the attention mechanism on medical image harmonization

Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu, Han Liu, Jiacheng Wang, Zachary Stoebner, Hans Johnson, Jeff Long, Jane Paulsen, Ipek Oguz

Proceedings Volume 12464, 124640Y (2023) https://doi.org/10.1117/12.2654392

KEYWORDS: Image segmentation, Medical imaging, Education and training, Content addressable memory, Control systems, Magnetic resonance imaging, Machine learning, Data modeling, White matter, Biomedical applications

Read Abstract +

SPIE Journal Paper | 18 February 2023

CaraNet: context axial reverse attention network for segmentation of small medical objects

Ange Lou, Shuyue Guan, Murray Loew

JMI, Vol. 10, Issue 01, 014005, (February 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.1.014005

KEYWORDS: Image segmentation, Polyps, Medical imaging, Tumors, Brain, Data modeling, Performance modeling, Convolution, Surgery, Neuroimaging

Read Abstract +

Proceedings Article | 4 April 2022 Presentation + Paper

CaraNet: context axial reverse attention network for segmentation of small medical objects

Ange Lou, Shuyue Guan, Hanseok Ko, Murray Loew

Proceedings Volume 12032, 120320D (2022) https://doi.org/10.1117/12.2611802

KEYWORDS: Image segmentation, Medical imaging, Tumors, Brain, Data modeling, Convolution, Surgery, Performance modeling, Neural networks, Machine vision

Read Abstract +

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation

Ange Lou, Shuyue Guan, Murray Loew

Proceedings Volume 11596, 115962T (2021) https://doi.org/10.1117/12.2582338

KEYWORDS: Medical imaging, Image segmentation, Performance modeling, Computer programming, Machine vision, Data modeling, Convolutional neural networks, Computer vision technology

Read Abstract +

Showing 5 of 10 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years