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Trends in deep learning for medical hyperspectral image analysis

Trends in deep learning for medical hyperspectral image analysis

27 November 2020
Uzair Khan
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
    OOD
ArXivPDFHTML

Papers citing "Trends in deep learning for medical hyperspectral image analysis"

10 / 10 papers shown
Title
Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data
Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data
Shaheer Mohamed
Tharindu Fernando
S. Sridharan
Peyman Moghadam
Clinton Fookes
31
0
0
06 May 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Mayar Lotfy
Anna Alperovich
Tommaso Giannantonio
Bjorn Barz
Xiaohan Zhang
...
Nassir Navab
F. Boehm
Carolin Schwamborn
Thomas K. Hoffmann
PatrickJ. Schuler
102
1
0
21 Feb 2025
An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network
  Ensemble Model for Hyperspectral Unmixing
An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing
Estefanía Alfaro-Mejía
Carlos J Delgado
V. Manian
26
0
0
10 Jun 2024
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for
  Brain Tumor Surgery
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery
David G. Black
Jaidev Gill
Andrew Xie
Benoit Liquet
A. Di Ieva
Walter Stummer
E. Molina
MedIm
20
0
0
06 Feb 2024
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised
  Pretraining
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pretraining
Shaheera Mohamed
Maryam Haghighat
Tharindu Fernando
S. Sridharan
Clinton Fookes
Peyman Moghadam
ViT
22
11
0
18 Sep 2023
Forward-Forward Algorithm for Hyperspectral Image Classification: A
  Preliminary Study
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study
Sidike Paheding
Abel A. Reyes Angulo
13
5
0
01 Jul 2023
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and
  Dental Spectral Image Database (ODSI-DB)
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)
Luis C. García-Peraza-Herrera
C. Horgan
Sebastien Ourselin
Michael Ebner
Tom Kamiel Magda Vercauteren
34
33
0
14 Mar 2023
Robust deep learning-based semantic organ segmentation in hyperspectral
  images
Robust deep learning-based semantic organ segmentation in hyperspectral images
Silvia Seidlitz
Jiansheng Fang
Jan Odenthal
Berkin Özdemir
H. Fu
...
Jiang-Dong Liu
Martin Wagner
Felix Nickel
Beat P. Müller-Stich
Lena Maier-Hein
27
8
0
09 Nov 2021
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
40
223
0
24 Feb 2017
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
278
10,608
0
19 Feb 2017
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