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. 2106.01711
  4. Cited By
Lymph Node Graph Neural Networks for Cancer Metastasis Prediction

Lymph Node Graph Neural Networks for Cancer Metastasis Prediction

3 June 2021
M. Kazmierski
B. Haibe-Kains
ArXiv (abs)PDFHTML

Papers citing "Lymph Node Graph Neural Networks for Cancer Metastasis Prediction"

13 / 13 papers shown
Title
A Machine Learning Challenge for Prognostic Modelling in Head and Neck
  Cancer Using Multi-modal Data
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data
M. Kazmierski
M. Welch
Sejin Kim
Chris McIntosh
Princess Margaret Head
...
M. Milosevic
Fei-Fei Liu
A. Hope
S. Bratman
B. Haibe-Kains
65
5
0
28 Jan 2021
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via
  Relationship Learning Using Graph Neural Network
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
Chun-Hung Chao
Zhuotun Zhu
Dazhou Guo
K. Yan
T. Ho
...
Jing Xiao
Alan Yuille
Min Sun
Le Lu
D. Jin
69
28
0
29 Aug 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
513
953
0
02 Mar 2020
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
550
42,639
0
03 Dec 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for
  Clinical End Use
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
S. Tonekaboni
Shalmali Joshi
M. Mccradden
Anna Goldenberg
76
396
0
13 May 2019
On Graph Classification Networks, Datasets and Baselines
On Graph Classification Networks, Datasets and Baselines
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
61
19
0
12 May 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
244
4,368
0
06 Mar 2019
Deep Neural Networks for Survival Analysis Based on a Multi-Task
  Framework
Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework
Stephane Fotso
385
124
0
17 Jan 2018
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
124
486
0
20 Nov 2017
Radiomics strategies for risk assessment of tumour failure in
  head-and-neck cancer
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
M. Vallières
Emily Kay-Rivest
Léo Jean Perrin
X. Liem
C. Furstoss
...
P. Nguyen-Tan
Chang-Shu Wang
K. Sultanem
Jan Seuntjens
I. E. El Naqa
38
446
0
24 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
193
6,024
0
04 Mar 2017
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1