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High-level Prior-based Loss Functions for Medical Image Segmentation: A
  Survey
v1v2 (latest)

High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey

Computer Vision and Image Understanding (CVIU), 2020
16 November 2020
Rosana El Jurdia
Caroline Petitjean
P. Honeine
Veronika Cheplygina
F. Abdallah
    SSegMedIm
ArXiv (abs)PDFHTML

Papers citing "High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey"

25 / 25 papers shown
XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning
XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning
Raja Mallina
Bryar Shareef
188
3
0
08 Sep 2025
Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models
Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models
Jonathan Aellen
Florian Burkhardt
T. Vetter
M. Lüthi
138
0
0
06 Sep 2025
Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
Zunjie Xiao
Xiao Wu
Tianhang Liu
Lingxi Hu
Yinling Zhang
Xiaoqing Zhang
Risa Higashita
Jiang-Dong Liu
137
0
0
12 Aug 2025
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
Bashir Alam
Masa Cirkovic
Mete Harun Akcay
Md Kaf Shahrier
S. Lafond
Hergys Rexha
Kurt Benke
Sepinoud Azimi
J. Arslan
225
0
0
06 Apr 2025
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy
Juan Miguel Valverde
Motoya Koga
Nijihiko Otsuka
Anders Bjorholm Dahl
307
2
0
05 Mar 2025
Weakly supervised deep learning model with size constraint for prostate
  cancer detection in multiparametric MRI and generalization to unseen domains
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domainsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2024
Robin Trombetta
O. Rouvière
Carole Lartizien
OODMedIm
190
1
0
04 Nov 2024
Deep vessel segmentation with joint multi-prior encoding
Deep vessel segmentation with joint multi-prior encodingIEEE International Symposium on Biomedical Imaging (ISBI), 2024
Amine Sadikine
Bogdan Badic
Enzo Ferrante
V. Noblet
Pascal Ballet
D. Visvikis
Pierre-Henri Conze
MedIm
135
0
0
18 Sep 2024
Self-Updating Vehicle Monitoring Framework Employing Distributed
  Acoustic Sensing towards Real-World Settings
Self-Updating Vehicle Monitoring Framework Employing Distributed Acoustic Sensing towards Real-World Settings
Xi Wang
Xin Jin
Songming Zhu
Zhanwen Li
Lina Gao
234
2
0
16 Sep 2024
SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through
  Residual Visual Mamba Layers and Shape Priors
SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors
Zhiqing Zhang
Tianyong Liu
Guojia Fan
Bin Li
Qianjin Feng
Shoujun Zhou
Mamba
285
2
0
28 Aug 2024
[Citation needed] Data usage and citation practices in medical imaging
  conferences
[Citation needed] Data usage and citation practices in medical imaging conferencesInternational Conference on Medical Imaging with Deep Learning (MIDL), 2024
Théo Sourget
Ahmet Akkocc
Stinna Winther
Christine Lyngbye Galsgaard
Amelia Jiménez-Sánchez
Dovile Juodelyte
Caroline Petitjean
Veronika Cheplygina
208
4
0
05 Feb 2024
Segmentation of tibiofemoral joint tissues from knee MRI using MtRA-Unet
  and incorporating shape information: Data from the Osteoarthritis Initiative
Segmentation of tibiofemoral joint tissues from knee MRI using MtRA-Unet and incorporating shape information: Data from the Osteoarthritis Initiative
Akshay Daydar
Alik Pramanick
Arijit Sur
Subramani Kanagaraj
171
3
0
23 Jan 2024
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary
  Confusion
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion
Xin You
Ming Ding
Minghui Zhang
Hanxiao Zhang
Yi Yu
Jie Yang
Yun Gu
1.4K
6
0
13 Dec 2023
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax
  Segmentation
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax SegmentationHealth Care Science (HCS), 2023
Han Yuan
Chuan Hong
Nguyen Tuan Anh Tran
Xinxing Xu
Nan Liu
294
10
0
26 Nov 2023
Comparative Analysis of Segment Anything Model and U-Net for Breast
  Tumor Detection in Ultrasound and Mammography Images
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography ImagesInternational Conference on Climate Informatics (ICCI), 2023
Mohsen Ahmadi
Masoumeh Farhadi Nia
Sara Asgarian
Kasra Danesh
Elyas Irankhah
Ahmad Gholizadeh Lonbar
Abbas Sharifi
288
17
0
21 Jun 2023
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic
  Disc/Cup Segmentation and Fovea Detection
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection
Huaqing He
Li Lin
Zhiyuan Cai
Pujin Cheng
Xiaoying Tang
ViTMedIm
254
8
0
19 May 2023
Model-based inexact graph matching on top of CNNs for semantic scene
  understanding
Model-based inexact graph matching on top of CNNs for semantic scene understandingComputer Vision and Image Understanding (CVIU), 2023
Jérémy Chopin
Jean-Baptiste Fasquel
Harold Mouchère
Rozenn Dahyot
Isabelle Bloch
220
8
0
18 Jan 2023
A Survey on Deep Learning for Skin Lesion Segmentation
A Survey on Deep Learning for Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
Alceu Bissoto
Catarina Barata
Sandra Avila
Eduardo Valle
M. Celebi
Ghassan Hamarneh
604
163
0
01 Jun 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance
  Imaging
Physics-Driven Deep Learning for Computational Magnetic Resonance ImagingIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Kerstin Hammernik
Thomas Kustner
Burhaneddin Yaman
Zhengnan Huang
Daniel Rueckert
Florian Knoll
Mehmet Akçakaya
PINNMedImAI4CE
451
122
0
23 Mar 2022
Improving anatomical plausibility in medical image segmentation via
  hybrid graph neural networks: applications to chest x-ray analysis
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysisIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Nicolás Gaggion
Lucas Mansilla
Candelaria Mosquera
Diego H. Milone
Enzo Ferrante
MedIm
235
63
0
21 Mar 2022
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
M. C. Fiorentino
Francesca Pia Villani
M. D. Cosmo
Emanuele Frontoni
S. Moccia
210
157
0
28 Jan 2022
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
Rosana El Jurdi
Caroline Petitjean
Veronika Cheplygina
P. Honeine
F. Abdallah
SSeg
306
1
0
07 Jan 2022
Re-using Adversarial Mask Discriminators for Test-time Training under
  Distribution Shifts
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution ShiftsMachine Learning for Biomedical Imaging (MLBI), 2021
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
503
8
0
26 Aug 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OODMedIm
458
95
0
06 Aug 2021
Hybrid graph convolutional neural networks for landmark-based anatomical
  segmentation
Hybrid graph convolutional neural networks for landmark-based anatomical segmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Nicolás Gaggion
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
MedIm
158
11
0
17 Jun 2021
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentationIEEE Reviews in Biomedical Engineering (IEEE Rev. Biomed. Eng.), 2021
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
333
60
0
19 Jan 2021
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