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06/14/2023
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation
Semi-supervised learning (SSL) methods, which can leverage a large amoun...
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02/13/2023
CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, act...
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09/02/2022
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos
Phase recognition plays an essential role for surgical workflow analysis...
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08/10/2022
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation
Three-dimensional (3D) integrated renal structures (IRS) segmentation is...
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08/04/2022
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion
Registration plays an important role in medical image analysis. Deep lea...
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05/07/2022
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Segmentation of 3D knee MR images is important for the assessment of ost...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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07/19/2021
Frequency-Supervised MR-to-CT Image Synthesis
This paper strives to generate a synthetic computed tomography (CT) imag...
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12/23/2020
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation
Unsupervised domain adaptation (UDA) for cross-modality medical image se...
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08/24/2019
Robust Regression via Deep Negative Correlation Learning
Nonlinear regression has been extensively employed in many computer visi...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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02/21/2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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12/24/2018
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
Convolutional Neural Networks (CNNs) have achieved state-of-the-art perf...
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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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12/05/2017
Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks
We present a method to address the challenging problem of segmentation o...
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11/28/2017
