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03/04/2022
Characterizing Renal Structures with 3D Block Aggregate Transformers
Efficiently quantifying renal structures can provide distinct spatial co...
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12/23/2020
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
Performing coarse-to-fine abdominal multi-organ segmentation facilitates...
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02/10/2020
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives
Segmentation of abdominal computed tomography(CT) provides spatial conte...
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02/10/2020
Outlier Guided Optimization of Abdominal Segmentation
Abdominal multi-organ segmentation of computed tomography (CT) images ha...
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12/01/2019
Stochastic tissue window normalization of deep learning on computed tomography
Tissue window filtering has been widely used in deep learning for comput...
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11/14/2019
Contrast Phase Classification with a Generative Adversarial Network
Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...
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11/12/2019
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision
Human in-the-loop quality assurance (QA) is typically performed after me...
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11/09/2018
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
The findings of splenomegaly, abnormal enlargement of the spleen, is a n...
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10/15/2018
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
A key limitation of deep convolutional neural networks (DCNN) based imag...
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12/20/2017
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
A lack of generalizability is one key limitation of deep learning based ...
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12/02/2017