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2112.04653
Cited By
Extending nn-UNet for brain tumor segmentation
9 December 2021
Huan Minh Luu
Sung-Hong Park
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Papers citing
"Extending nn-UNet for brain tumor segmentation"
12 / 12 papers shown
Title
T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning
Zach Eidex
Mojtaba Safari
Richard L. J. Qiu
D. Yu
Hui-Kuo Shu
H. Mao
Xiaofeng Yang
MedIm
53
1
0
03 Sep 2024
Interactive Image Selection and Training for Brain Tumor Segmentation Network
Matheus A. Cerqueira
Flávia Sprenger
Bernardo C. A. Teixeira
Alexandre X. Falcão
46
3
0
05 Jun 2024
Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion models
Tianyi Ren
Abhishek Sharma
Juampablo Heras Rivera
Harshitha Rebala
Ethan Honey
Agamdeep Chopra
Jacob Ruzevick
Mehmet Kurt
DiffM
MedIm
32
0
0
12 Feb 2024
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
Jieneng Chen
Jieru Mei
Xianhang Li
Yongyi Lu
Qihang Yu
...
M. Lungren
Lei Xing
Le Lu
Alan Yuille
Yuyin Zhou
MedIm
ViT
38
36
0
11 Oct 2023
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation
Lanhong Yao
Zheyu Zhang
Ulas Bagci
ViT
MedIm
59
1
0
31 Jul 2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Ragnhild Holden Helland
Alexandros Ferles
André Pedersen
I. Kommers
H. Ardon
...
O. Solheim
P. D. W. Hamer
Ingerid Reinertsen
R. Eijgelaar
D. Bouget
26
16
0
18 Apr 2023
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution
Ramy A. Zeineldin
Mohamed E. Karar
Oliver Burgert
Franziska Mathis-Ullrich
30
30
0
19 Dec 2022
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation
Himashi Peiris
Munawar Hayat
Zhaolin Chen
Gary Egan
Mehrtash Harandi
MedIm
29
4
0
16 Sep 2022
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei
Shenghan Ren
Kaitai Guo
Haihong Hu
Jimin Liang
ViT
OOD
MedIm
25
36
0
23 Jul 2022
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
D. Bouget
André Pedersen
A. Jakola
V. Kavouridis
K. Emblem
...
M. Witte
A. Zwinderman
P. D. W. Hamer
O. Solheim
Ingerid Reinertsen
28
21
0
29 Apr 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
Jiang Liu
Srivathsa Pasumarthi
B. Duffy
Enhao Gong
Keshav Datta
Greg Zaharchuk
ViT
MedIm
19
55
0
28 Apr 2022
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
31
53
0
09 Mar 2021
1