Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 187 0 0 04 May 2025
Regression is all you need for medical image translation Sebastian Rassmann David Kügler Christian Ewert Martin Reuter DiffM MedIm 252 0 0 04 May 2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection Farzad Beizaee Gregory A. Lodygensky Christian Desrosiers Jose Dolz DiffM MedIm 44 0 0 24 Feb 2025
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts Ziheng Zhao Yao Zhang Chaoyi Wu Xiaoman Zhang Ya Zhang Yanfeng Wang Weidi Xie VLM MedIm 35 37 0 28 Dec 2023
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 25 10 0 07 Dec 2023
3D SA-UNet: 3D Spatial Attention UNet with 3D ASPP for White Matter Hyperintensities Segmentation Changlu Guo 24 0 0 15 Sep 2023
Multi-layer Aggregation as a key to feature-based OOD detection Benjamin Lambert Florence Forbes Senan Doyle M. Dojat 30 5 0 28 Jul 2023
Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI A. Ghazvanchahi P. Maralani A. Moody A. Khademi 28 1 0 07 Jul 2023
A Unified Framework for U-Net Design and Analysis Christopher Williams Fabian Falck George Deligiannidis Chris Holmes Arnaud Doucet Saifuddin Syed SSeg AI4CE 44 34 0 31 May 2023
Attention Mechanisms in Medical Image Segmentation: A Survey Yutong Xie Bing Yang Qi Guan Jianpeng Zhang Qi Wu Yong-quan Xia ViT MedIm 27 16 0 29 May 2023
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning Sovesh Mohapatra Advait Gosai G. Schlaug 33 32 0 10 Apr 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 49 87 0 16 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 39 5 0 13 Feb 2023
Spatially Covariant Lesion Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Dongdong Liu Chao Li Jiahao Nick Li MedIm 39 7 0 19 Jan 2023
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation Benjamin Lambert Florence Forbes Senan Doyle A. Tucholka M. Dojat UQCV OOD 64 4 0 10 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 30 19 0 08 Nov 2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation Xutao Guo Yanwu Yang Chenfei Ye Shangfeng Lu Yang Xiang Tingxia Ma MedIm DiffM 47 32 0 27 Oct 2022
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations Sophie Ostmeier Brian Axelrod J. Bertels Fabian Isensee Maarten G.Lansberg Soren Christensen G. Albers Li-Jia Li J. Heit 23 11 0 26 Sep 2022
Attentive Symmetric Autoencoder for Brain MRI Segmentation Junjia Huang Haofeng Li Guanbin Li Xiang Wan MedIm 35 17 0 19 Sep 2022
Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on norwegian imaging database M. Røvang P. Selnes B. MacIntosh I. Groote Lene Paalhaugen Sudre Carole T. Fladby A. Bjørnerud 24 1 0 18 Jul 2022
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience Rongguang Wang V. Bashyam Zhijian Yang Fanyang Yu Vasiliki Tassopoulou ... Dushyant Sahoo K. Nikita Ahmed Abdulkadir J. Wen Christos Davatzikos GAN MedIm AI4CE 28 46 0 14 Jun 2022
On the Pitfalls of Using the Residual Error as Anomaly Score Felix Meissen Benedikt Wiestler Georgios Kaissis Daniel Rueckert UQCV 29 11 0 08 Feb 2022
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 43 83 0 11 Jan 2022
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante 21 15 0 22 Dec 2021
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows Elena Williams Sebastian Niehaus J. Reinelt A. Merola P. Mihai ... Evelyn Medawar Daniel Lichterfeld Ingo Roeder N. Scherf Maria del C. Valdés Hernández 26 3 0 06 Dec 2021
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation Brandon Mac A. Moody A. Khademi MedIm 27 0 0 14 Aug 2021
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 46 50 0 24 Jun 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 50 533 0 18 Feb 2021
Robust White Matter Hyperintensity Segmentation on Unseen Domain Xingchen Zhao Anthony Sicilia D. Minhas Erin O'Connor H. Aizenstein W. Klunk D. Tudorascu Seong Jae Hwang OOD 21 13 0 12 Feb 2021
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index Tom Eelbode J. Bertels Maxim Berman Dirk Vandermeulen F. Maes R. Bisschops Matthew B. Blaschko 33 255 0 26 Oct 2020
Test-time Unsupervised Domain Adaptation Thomas Varsavsky Mauricio Orbes-Arteaga Carole H. Sudre M. Graham P. Nachev M. Jorge Cardoso OOD 21 55 0 05 Oct 2020
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images Julian Alberto Palladino D. Slezak Enzo Ferrante OOD MedIm 29 27 0 10 Sep 2020
Automated Claustrum Segmentation in Human Brain MRI Using Deep Learning Hongwei Bran Li A. Menegaux B. Schmitz-Koep Antonia Neubauer Felix J. B. Bäuerlein Suprosanna Shit C. Sorg Bjoern H. Menze D. Hedderich 33 20 0 08 Aug 2020
Liver segmentation and metastases detection in MR images using convolutional neural networks M. J. Jansen Hugo J. Kuijf M. Niekel W. Veldhuis F. Wessels M. Viergever J. Pluim MedIm 13 36 0 15 Oct 2019
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning Mauricio Orbes-Arteaga Thomas Varsavsky Carole H. Sudre Zach Eaton-Rosen Lewis J. Haddow ... A. Pai Sébastien Ourselin Marc Modat P. Nachev M. Jorge Cardoso OOD 33 40 0 16 Aug 2019
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images J. Doshi G. Erus Mohamad Habes Christos Davatzikos MedIm 30 27 0 03 Jul 2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis Hongwei Bran Li Johannes C. Paetzold Anjany Sekuboyina Florian Kofler Jianguo Zhang Jan S. Kirschke Benedikt Wiestler Bjoern H. Menze GAN MedIm 24 88 0 29 Apr 2019
Hydranet: Data Augmentation for Regression Neural Networks Florian Dubost Gerda Bortsova H. Adams M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 21 9 0 12 Jul 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 343 10,633 0 19 Feb 2017