ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.03078
  4. Cited By
What Makes for Automatic Reconstruction of Pulmonary Segments
v1v2v3 (latest)

What Makes for Automatic Reconstruction of Pulmonary Segments

7 July 2022
Kaiming Kuang
Li Zhang
Jingyuan Li
Hongwei Bran Li
Jiajun Chen
Bo Du
Jiancheng Yang
ArXiv (abs)PDFHTMLGithub (21★)

Papers citing "What Makes for Automatic Reconstruction of Pulmonary Segments"

19 / 19 papers shown
Title
Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
R. Zhao
Zuopeng Tan
Xiao Xue
Longfei Zhao
Bing Li
...
Ran Xiao
Sirong Piao
Rui Zhao
Qiqi Xu
Wei Song
139
0
0
20 May 2025
Representation-Agnostic Shape Fields
Representation-Agnostic Shape Fields
Xiaoyang Huang
Jiancheng Yang
Yanjun Wang
Ziyu Chen
Linguo Li
Teng Li
Bingbing Ni
Wenjun Zhang
48
7
0
19 Mar 2022
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein
  Segmentation in CT
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Yulei Qin
Hao Zheng
Yun Gu
Xiaolin Huang
Jie Yang
Lihui Wang
Feng Yao
Y. Zhu
Guang-Zhong Yang
44
75
0
10 Dec 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DVAI4CE
345
986
0
10 Mar 2020
Implicit Functions in Feature Space for 3D Shape Reconstruction and
  Completion
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane
Thiemo Alldieck
Gerard Pons-Moll
3DPC
120
497
0
03 Mar 2020
Neural Cages for Detail-Preserving 3D Deformations
Neural Cages for Detail-Preserving 3D Deformations
Yifan Wang
Noam Aigerman
Vladimir G. Kim
S. Chaudhuri
O. Sorkine-Hornung
3DH
106
141
0
13 Dec 2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
122
2,633
0
11 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
511
42,449
0
03 Dec 2019
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
131
3,688
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
241
2,899
0
10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE3DV
148
1,633
0
06 Dec 2018
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC3DV
168
329
0
13 Jun 2018
Learning Free-Form Deformations for 3D Object Reconstruction
Learning Free-Form Deformations for 3D Object Reconstruction
Dominic Jack
J. K. Pontes
Sridha Sridharan
Clinton Fookes
S. Shirazi
Frederic Maire
Anders P. Eriksson
3DPC
72
73
0
29 Mar 2018
A Closer Look at Spatiotemporal Convolutions for Action Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran
Heng Wang
Lorenzo Torresani
Jamie Ray
Yann LeCun
Manohar Paluri
218
3,030
0
30 Nov 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
230
8,473
0
17 Jun 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
224
8,688
0
15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
1