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. 2010.09524
  4. Cited By
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT
  Data for Evaluating Lung Cancer Risk

Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk

19 October 2020
Riqiang Gao
Yucheng Tang
Kaiwen Xu
M. Kammer
S. Antic
S. Deppen
K. Sandler
P. Massion
Yuankai Huo
Bennett A. Landman
ArXivPDFHTML

Papers citing "Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk"

10 / 10 papers shown
Title
Internal-transfer Weighting of Multi-task Learning for Lung Cancer
  Detection
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection
Yiyuan Yang
Riqiang Gao
Yucheng Tang
S. Antic
S. Deppen
Yuankai Huo
K. Sandler
P. Massion
Bennett A. Landman
12
4
0
16 Dec 2019
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression
  from Censored Heterogenous Clinical Imaging
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging
Riqiang Gao
Lingfeng Li
Yucheng Tang
S. Antic
Alexis B. Paulson
Yuankai Huo
K. Sandler
P. Massion
Bennett A. Landman
40
8
0
12 Nov 2019
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models
  for Lung Cancer Detection
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
Riqiang Gao
Yuankai Huo
Shunxing Bao
Yucheng Tang
S. Antic
...
S. Deppen
Alexis B. Paulson
K. Sandler
P. Massion
Bennett A. Landman
36
42
0
11 Sep 2019
Brain Tumor Segmentation on MRI with Missing Modalities
Brain Tumor Segmentation on MRI with Missing Modalities
Yan Shen
Mingchen Gao
38
79
0
15 Apr 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial
  Networks
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Steven Cheng-Xian Li
Bo Jiang
Benjamin M. Marlin
GAN
SyDa
40
167
0
25 Feb 2019
Handling Incomplete Heterogeneous Data using VAEs
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal
Pablo Martínez Olmos
Zoubin Ghahramani
Isabel Valera
42
345
0
10 Jul 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon
James Jordon
M. Schaar
GAN
37
1,001
0
07 Jun 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
116
1,790
0
13 Feb 2018
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky
  Noisy-or Network
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
Fangzhou Liao
Ming Liang
Zhe Li
Xiaolin Hu
Sen Song
MedIm
57
419
0
22 Nov 2017
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
205
4,276
0
04 May 2011
1