publication venue for
- CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray.. 106. 2025
- TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs.. 99. 2024
- A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging.. 99. 2024
- Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs.. 98. 2024
- Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.. 97. 2024
- Cross-scale multi-instance learning for pathological image diagnosis.. 94. 2024
- A robust and interpretable deep learning framework for multi-modal registration via keypoints.. 90. 2023
- Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.. 89. 2023
- Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available.. 88. 2023
- Hyper-convolutions via implicit kernels for medical image analysis.. 86. 2023
- The Liver Tumor Segmentation Benchmark (LiTS).. 84. 2022
- Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.. 83. 2022
- Self-supervised learning of neighborhood embedding for longitudinal MRI.. 82. 2022
- A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries.. 81. 2022
- Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.. 77. 2022
- Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment.. 75. 2021
- VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.. 73. 2021
- Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos.. 73. 2021
- Longitudinal self-supervised learning.. 71. 2021
- An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.. 68. 2020
- Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.. 57. 2019
- Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising.. 54. 2019
- The first MICCAI challenge on PET tumor segmentation.. 44. 2017
- MR-based respiratory and cardiac motion correction for PET imaging.. 42. 2017
- Optimal slice timing correction and its interaction with fMRI parameters and artifacts.. 35. 2016
- Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest.. 24. 2015
- Automatic segmentation of occluded vasculature via pulsatile motion analysis in endoscopic robot-assisted partial nephrectomy video.. 25. 2015
- Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model.. 18. 2013
- Improved inference in Bayesian segmentation using Monte Carlo sampling: application to hippocampal subfield volumetry.. 17. 2013
- Towards robust deconvolution of low-dose perfusion CT: sparse perfusion deconvolution using online dictionary learning.. 17. 2013
- Automatic analysis of diabetic peripheral neuropathy using multi-scale quantitative morphology of nerve fibres in corneal confocal microscopy imaging.. 15. 2011
- An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy.. 15. 2011
- Constrained non-rigid registration for use in image-guided adaptive radiotherapy.. 13. 2009
- Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging.. 13. 2008
- Effects of registration regularization and atlas sharpness on segmentation accuracy.. 12. 2008
- Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images.. 12. 2008
- Guest editorial: Image analysis in dermatology.. 79. 2022
- The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016).. 41. 2017
- Deep learning for computational cytology: A survey. 2022
- Multi-atlas segmentation of biomedical images: A survey. 2015