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Context-Aware Transformers For Spinal Cancer Detection and Radiological
  Grading

Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

27 June 2022
Rhydian Windsor
A. Jamaludin
T. Kadir
Andrew Zisserman
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading"

8 / 8 papers shown
Title
Automated Spinal MRI Labelling from Reports Using a Large Language Model
Automated Spinal MRI Labelling from Reports Using a Large Language Model
Robin Y. Park
Rhydian Windsor
A. Jamaludin
Andrew Zisserman
32
1
0
22 Oct 2024
Counterfactual Explanations for Medical Image Classification and
  Regression using Diffusion Autoencoder
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
Matan Atad
D. Schinz
Hendrik Moeller
Robert Graf
Benedikt Wiestler
Daniel Rueckert
Nassir Navab
Jan S. Kirschke
Matthias Keicher
CML
DiffM
MedIm
47
3
0
02 Aug 2024
Transformer-based end-to-end classification of variable-length
  volumetric data
Transformer-based end-to-end classification of variable-length volumetric data
Marzieh Oghbaie
Teresa Araújo
T. Emre
U. Schmidt-Erfurth
Hrvoje Bogunović
ViT
MedIm
24
4
0
13 Jul 2023
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral
  Fracture Grading
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
Matthias Keicher
Matan Atad
D. Schinz
A. Gersing
S. Foreman
...
Jon F Rischewski
Anna-Sophia Dietrich
Benedikt Wiestler
Jan S. Kirschke
Nassir Navab
DiffM
MedIm
16
5
0
21 Mar 2023
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI
  Using Deep Learning
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning
N. Kowlagi
Huy Hoang Nguyen
T. McSweeney
S. Saarakkala
Juha Maatta
J. Karppinen
A. Tiulpin
MedIm
21
5
0
26 Oct 2022
Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
ViT
OOD
MedIm
28
24
0
02 Jun 2022
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt
A. Kirillov
Laura Leal-Taixe
Christoph Feichtenhofer
VOT
232
743
0
07 Jan 2021
Multi-modal Transformer for Video Retrieval
Multi-modal Transformer for Video Retrieval
Valentin Gabeur
Chen Sun
Alahari Karteek
Cordelia Schmid
ViT
433
596
0
21 Jul 2020
1