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Optimized U-Net for Brain Tumor Segmentation

Optimized U-Net for Brain Tumor Segmentation

7 October 2021
Michal Futrega
Alexandre Milesi
Michal Marcinkiewicz
Pablo Ribalta
    SSeg
ArXivPDFHTML

Papers citing "Optimized U-Net for Brain Tumor Segmentation"

32 / 32 papers shown
Title
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor
  Segmentation
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
Ruoxin Wang
Tianyi Tang
Haiming Du
Yuxuan Cheng
Yu Wang
Lingjie Yang
Xiaohui Duan
Yunfang Yu
Yu Zhou
Donglong Chen
54
0
0
08 Dec 2024
An Ensemble Approach for Brain Tumor Segmentation and Synthesis
An Ensemble Approach for Brain Tumor Segmentation and Synthesis
Juampablo Heras Rivera
Agamdeep Chopra
Tianyi Ren
Hitender Oswal
Yutong Pan
...
Akshay Jaikanth
Pavan Kancharla
Jacob Ruzevick
Daniela Ushizima
Mehmet Kurt
64
1
0
26 Nov 2024
Carefully Structured Compression: Efficiently Managing StarCraft II Data
Carefully Structured Compression: Efficiently Managing StarCraft II Data
Bryce Ferenczi
Rhys Newbury
Michael G. Burke
Tom Drummond
21
0
0
11 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OOD
FedML
27
4
0
07 Oct 2024
Robust Conformal Volume Estimation in 3D Medical Images
Robust Conformal Volume Estimation in 3D Medical Images
Benjamin Lambert
Florence Forbes
Senan Doyle
M. Dojat
OOD
19
1
0
29 Jul 2024
Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
Muhammad Ansab Butt
Absaar Ul Jabbar
19
0
0
22 May 2024
Re-DiffiNet: Modeling discrepancies in tumor segmentation using
  diffusion models
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
17
0
0
12 Feb 2024
An Optimization Framework for Processing and Transfer Learning for the
  Brain Tumor Segmentation
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
Tianyi Ren
Ethan Honey
Harshitha Rebala
Abhishek Sharma
Agamdeep Chopra
Mehmet Kurt
11
4
0
10 Feb 2024
Self-calibrated convolution towards glioma segmentation
Self-calibrated convolution towards glioma segmentation
Felipe C. R. Salvagnini
Gerson O. Barbosa
Alexandre X. Falcão
C. A. N. Santos
13
0
0
07 Feb 2024
Train-Free Segmentation in MRI with Cubical Persistent Homology
Train-Free Segmentation in MRI with Cubical Persistent Homology
Anton François
Raphael Tinarrage
3DV
12
1
0
02 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
19
1
0
31 Dec 2023
MIST: Medical Image Segmentation Transformer with Convolutional
  Attention Mixing (CAM) Decoder
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder
Md Motiur Rahman
Shiva Shokouhmand
Smriti Bhatt
M. Faezipour
MedIm
19
13
0
30 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain
  tumor segmentation
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation
Matthis Manthe
Stefan Duffner
Carole Lartizien
FedML
22
2
0
17 Oct 2023
Fetal-BET: Brain Extraction Tool for Fetal MRI
Fetal-BET: Brain Extraction Tool for Fetal MRI
Razieh Faghihpirayesh
Davood Karimi
Deniz Erdoğmuş
Ali Gholipour
18
4
0
02 Oct 2023
AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net
AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net
Matthias Hadlich
Zdravko Marinov
Rainer Stiefelhagen
9
2
0
21 Sep 2023
Prediction of Diblock Copolymer Morphology via Machine Learning
Prediction of Diblock Copolymer Morphology via Machine Learning
Hyun Park
Boyuan Yu
Juhae Park
Ge Sun
E. Tajkhorshid
J. Pablo
Ludwig Schneider
AI4CE
17
1
0
31 Aug 2023
Tumor-Centered Patching for Enhanced Medical Image Segmentation
Tumor-Centered Patching for Enhanced Medical Image Segmentation
Mutyyba Asghar
A. R. Shahid
Akhtar Jamil
K. Aftab
S. Enam
16
1
0
23 Aug 2023
Large-kernel Attention for Efficient and Robust Brain Lesion
  Segmentation
Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation
Liam Chalcroft
Ruben Lourencco Pereira
Mikael Brudfors
Andrew S. Kayser
M. D’Esposito
Cathy J. Price
Ioannis Pappas
John Ashburner
ViT
3DV
MedIm
9
8
0
14 Aug 2023
Spatiotemporal Modeling Encounters 3D Medical Image Analysis:
  Slice-Shift UNet with Multi-View Fusion
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion
C. Ugwu
S. Casarin
O. Lanz
11
0
0
24 Jul 2023
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation
  on MRI Brain Tumor
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
Yu-Jen Chen
Xinrong Hu
Yi Shi
Tsung-Yi Ho
26
6
0
26 Jun 2023
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor
  Segmentation
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation
Yu-Jen Chen
Yi Shi
Tsung-Yi Ho
20
0
0
08 Jun 2023
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
G. Prasanna
John Rohit Ernest
G. Lalitha
Sathiya Narayanan
13
3
0
13 May 2023
Topology-Aware Focal Loss for 3D Image Segmentation
Topology-Aware Focal Loss for 3D Image Segmentation
Andac Demir
Elie Massaad
B. Kiziltan
18
8
0
24 Apr 2023
Continuous U-Net: Faster, Greater and Noiseless
Continuous U-Net: Faster, Greater and Noiseless
Chunyang Cheng
Christina Runkel
Lihao Liu
Raymond H. F. Chan
Carola-Bibiane Schönlieb
Angelica I Aviles-Rivero
SSeg
24
9
0
01 Feb 2023
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised
  3D Segmentation Model
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model
Satoshi Kondo
Satoshi Kasai
12
1
0
24 Aug 2022
Voxels Intersecting along Orthogonal Levels Attention U-Net for
  Intracerebral Haemorrhage Segmentation in Head CT
Voxels Intersecting along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT
Qinghui Liu
B. MacIntosh
Till Schellhorn
Karoline Skogen
K. Emblem
A. Bjørnerud
12
5
0
12 Aug 2022
High-Resolution Swin Transformer for Automatic Medical Image
  Segmentation
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei
Shenghan Ren
Kaitai Guo
Haihong Hu
Jimin Liang
ViT
OOD
MedIm
4
36
0
23 Jul 2022
Large-Kernel Attention for 3D Medical Image Segmentation
Large-Kernel Attention for 3D Medical Image Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
MedIm
22
22
0
19 Jul 2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with
  Modality-Correlated Cross-Attention for Brain Tumor Segmentation
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Jianwei Lin
Jiatai Lin
Chenghao Lu
Hao Chen
Huan Lin
...
Biao Huang
C. Liang
Guoqiang Han
Zaiyi Liu
Chu Han
MedIm
16
62
0
15 Jul 2022
FakeNews: GAN-based generation of realistic 3D volumetric data -- A
  systematic review and taxonomy
FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
André Ferreira
Jianning Li
Kelsey L. Pomykala
Jens Kleesiek
Victor Alves
Jan Egger
MedIm
8
23
0
04 Jul 2022
Negligible effect of brain MRI data preprocessing for tumor segmentation
Negligible effect of brain MRI data preprocessing for tumor segmentation
E. Kondrateva
Polina Druzhinina
A. Dalechina
S. Zolotova
A. Golanov
B. Shirokikh
Mikhail Belyaev
Anvar Kurmukov
18
3
0
11 Apr 2022
Artificial Intelligence Solution for Effective Treatment Planning for
  Glioblastoma Patients
Artificial Intelligence Solution for Effective Treatment Planning for Glioblastoma Patients
Vikram Goddla
8
0
0
09 Mar 2022
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