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Trends in deep learning for medical hyperspectral image analysis

Trends in deep learning for medical hyperspectral image analysis

IEEE Access (IEEE Access), 2020
27 November 2020
Uzair Khan
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
    OOD
ArXiv (abs)PDFHTML

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

9 / 9 papers shown
Label tree semantic losses for rich multi-class medical image segmentation
Label tree semantic losses for rich multi-class medical image segmentation
Junwen Wang
O. MacCormac
William Rochford
Aaron Kujawa
J. Shapey
Tom Vercauteren
242
0
0
21 Jul 2025
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
Sridha Sridharan
Peyman Moghadam
Clinton Fookes
326
0
0
06 May 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural NetworksGerman Conference on Pattern Recognition (GCPR), 2023
Mayar Lotfy
Anna Alperovich
Tommaso Giannantonio
Bjorn Barz
Xiaohan Zhang
...
Nassir Navab
F. Boehm
Carolin Schwamborn
Thomas K. Hoffmann
PatrickJ. Schuler
485
2
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
308
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
168
1
0
06 Feb 2024
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised
  Pretraining
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised PretrainingIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Shaheera Mohamed
Maryam Haghighat
Tharindu Fernando
Sridha Sridharan
Clinton Fookes
Peyman Moghadam
ViT
376
29
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
211
7
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. Garcia-Peraza-Herrera
C. Horgan
Sebastien Ourselin
Michael Ebner
Tom Vercauteren
158
44
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
Huazhu Fu
...
Jiang-Dong Liu
Martin Wagner
Felix Nickel
Beat P. Müller-Stich
Lena Maier-Hein
228
25
0
09 Nov 2021
1
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