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Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review

11 March 2023
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
    AI4CE
ArXivPDFHTML

Papers citing "Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review"

10 / 10 papers shown
Title
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology
  Datasets with Foundational Embedding Models
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
Aakash Tripathi
Asim Waqas
Yasin Yilmaz
Ghulam Rasool
21
5
0
13 May 2024
Anticipative Feature Fusion Transformer for Multi-Modal Action
  Anticipation
Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation
Zeyun Zhong
David Schneider
Michael Voit
Rainer Stiefelhagen
Jürgen Beyerer
66
44
0
23 Oct 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
33
82
0
07 Sep 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
36
98
0
16 May 2022
Secure Multi-Party Computation based Privacy Preserving Data Analysis in
  Healthcare IoT Systems
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems
Kevser Sahinbas
Ferhat Ozgur Catak
20
10
0
29 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
488
0
05 Mar 2020
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
34
182
0
16 Oct 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal
  Cancer Histology Images
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
27
169
0
03 Sep 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
275
10,544
0
19 Feb 2017
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