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. 2102.10446
  4. Cited By
Squeeze-and-Excitation Normalization for Automated Delineation of Head
  and Neck Primary Tumors in Combined PET and CT Images

Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images

20 February 2021
A. Iantsen
D. Visvikis
M. Hatt
ArXivPDFHTML

Papers citing "Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images"

16 / 16 papers shown
Title
Beyond Accuracy Optimization: Computer Vision Losses for Large Language
  Model Fine-Tuning
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
Daniele Rege Cambrin
Giuseppe Gallipoli
Irene Benedetto
Luca Cagliero
Paolo Garza
33
0
0
20 Sep 2024
Interactive 3D Segmentation for Primary Gross Tumor Volume in
  Oropharyngeal Cancer
Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer
Mikko Saukkoriipi
J. Sahlsten
J. Jaskari
Lotta Orasmaa
J. Kangas
...
A. Makitie
Mohamed Naser
Clifton Fuller
Benjamin H. Kann
K. Kaski
39
2
0
10 Sep 2024
Prediction of post-radiotherapy recurrence volumes in head and neck
  squamous cell carcinoma using 3D U-Net segmentation
Prediction of post-radiotherapy recurrence volumes in head and neck squamous cell carcinoma using 3D U-Net segmentation
Denis Kutnár
I. Vogelius
K. Håkansson
Jens Petersen
J. Friborg
L. Specht
M. Bernsdorf
A. Gothelf
C. Kristensen
Abraham George Smith
8
0
0
16 Aug 2023
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for
  Multimodal Tumor Segmentation
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation
Jun Shi
Hongyu Kan
Shulan Ruan
Ziqi Zhu
Minfan Zhao
Liang Qiao
Zhaohui Wang
Hong An
Xudong Xue
ViT
MedIm
18
6
0
04 Jul 2023
Diagnosis and Prognosis of Head and Neck Cancer Patients using
  Artificial Intelligence
Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence
I. Sobirov
33
0
0
31 May 2023
Towards Tumour Graph Learning for Survival Prediction in Head & Neck
  Cancer Patients
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients
Ángel Víctor Juanco-Müller
João F. C. Mota
K. Goatman
C. Hoogendoorn
32
1
0
17 Apr 2023
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma
  Segmentation
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation
Shahad Hardan
Hussain Alasmawi
Xiangjiang Hou
Mohammad Yaqub
18
0
0
13 Mar 2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor
  Segmentation in PET/CT Images
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images
Gary Y. Li
Junyu Chen
Se-In Jang
Kuang Gong
Quanzheng Li
ViT
MedIm
46
14
0
08 Feb 2023
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal
  GAN
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
R. V. Bergen
Jean-Francois Rajotte
F. Yousefirizi
Arman Rahmim
R. Ng
MedIm
25
1
0
13 Jun 2022
Super Images -- A New 2D Perspective on 3D Medical Imaging Analysis
Super Images -- A New 2D Perspective on 3D Medical Imaging Analysis
I. Sobirov
Numan Saeed
Mohammad Yaqub
MedIm
22
2
0
05 May 2022
Segmentation and Risk Score Prediction of Head and Neck Cancers in
  PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks
F. Yousefirizi
I. Janzen
Natalia Dubljevic
Yueh-En Liu
Chloe Hill
Calum MacAulay
Arman Rahmim
26
5
0
16 Feb 2022
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers
  Are?
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
I. Sobirov
Otabek Nazarov
Hussain Alasmawi
Mohammad Yaqub
ViT
MedIm
33
11
0
17 Jan 2022
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and
  Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Vincent Andrearczyk
Valentin Oreiller
S. Boughdad
C. Cheze-le-Rest
H. Elhalawani
...
John O. Prior
M. Vallières
D. Visvikis
M. Hatt
Adrien Depeursinge
38
83
0
11 Jan 2022
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free
  Survival using a Full-Scale UNet with Attention
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
Emmanuelle Bourigault
Daniel R. McGowan
A. Mehranian
Bartlomiej W. Papie.z
46
22
0
06 Nov 2021
3-D PET Image Generation with tumour masks using TGAN
3-D PET Image Generation with tumour masks using TGAN
R. V. Bergen
Jean-Francois Rajotte
F. Yousefirizi
I. Klyuzhin
Arman Rahmim
R. Ng
MedIm
25
7
0
02 Nov 2021
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image
  Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach
  for the crossMoDA Challenge
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge
Jae Won Choi
37
10
0
02 Oct 2021
1