2024
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.
IEEE Trans. Medical Imaging, May, 2024
Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge.
CoRR, 2024
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Medical Image Anal., December, 2023
COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Learning Site-Specific Styles for Multi-institutional Unsupervised Cross-Modality Domain Adaptation.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
Flexible-C<sup>m</sup> GAN: Towards Precise 3D Dose Prediction in Radiotherapy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging.
CoRR, 2022
Characterizing Renal Structures with 3D Block Aggregate Transformers.
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2022
2021
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Pancreas CT Segmentation by Predictive Phenotyping.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19.
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2020
Quantification of Tomographic Patterns associated with COVID-19 from Chest CT.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2020
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images.
CoRR, 2020
2019
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.
IEEE Trans. Medical Imaging, 2019
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
,
,
,
,
,
,
,
,
,
,
IEEE Trans. Medical Imaging, 2019
3D whole brain segmentation using spatially localized atlas network tiles.
NeuroImage, 2019
Select, Attend, and Transfer: Light, Learnable Skip Connections.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Class-Aware Adversarial Lung Nodule Synthesis In CT Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.
IEEE Trans. Biomed. Eng., 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.
CoRR, 2018
Select, Attend, and Transfer: Light, Learnable Skip Connections.
,
,
,
,
,
,
,
,
,
,
CoRR, 2018
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Adversarial synthesis learning enables segmentation without target modality ground truth.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Multi-atlas spleen segmentation on CT using adaptive context learning.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Automatic Segmentation of the Human Abdomen on Clinically Acquired CT.
PhD thesis, 2016
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE Trans. Biomed. Eng., 2016
Evaluation of body-wise and organ-wise registrations for abdominal organs.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.
Medical Image Anal., 2015
Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Multi-atlas segmentation for abdominal organs with Gaussian mixture models.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Shape-constrained multi-atlas segmentation of spleen in CT.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
SIMPLE Is a Good Idea (and Better with Context Learning).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Automatic segmentation of abdominal wall in ventral hernia CT: a pilot study.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
Generalized statistical label fusion using multiple consensus levels.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Collaborative labeling of malignant glioma.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012