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NeuralOCT: Airway OCT Analysis via Neural Fields

NeuralOCT: Airway OCT Analysis via Neural Fields

15 March 2024
Yining Jiao
Amy Oldenburg
Yinghan Xu
Srikamal J. Soundararajan
C. Zdanski
Julia Kimbell
Marc Niethammer
ArXivPDFHTML

Papers citing "NeuralOCT: Airway OCT Analysis via Neural Fields"

10 / 10 papers shown
Title
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise
  to Noise Mapping
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
51
23
0
02 Jun 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
238
7,047
0
05 Apr 2023
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
Yining Jiao
C. Zdanski
Julia Kimbell
Andrew Prince
Cameron P Worden
...
Christopher Rutter
Benjamin Shields
William Dunn
Jisan Mahmud
Marc Niethammer
66
3
0
16 Mar 2023
Neural-Pull: Learning Signed Distance Functions from Point Clouds by
  Learning to Pull Space onto Surfaces
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Baorui Ma
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
3DPC
65
156
0
26 Nov 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
86
2,516
0
17 Jun 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning Shapes
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
87
854
0
24 Feb 2020
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
79
3,654
0
16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
218
2,875
0
10 Dec 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DV
121
1,181
0
15 Feb 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
250
1,949
0
24 Oct 2016
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