Joseph Y. Lo

发表

Multi-organ segmentation in clinical-computed tomography for patient-specific image quality and dose metrology

Ehsan Samei, Wanyi Fu, Rui Hou, 2019, Medical Imaging.

Mask Embedding for Realistic High-Resolution Medical Image Synthesis

Yingzhou Li, Rui Hou, Joseph Y. Lo, 2019, MICCAI.

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features

Maciej A. Mazurowski, Rui Hou, Joseph Y. Lo, 2020, Medical Imaging.

Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index

Rui Hou, Joseph Y. Lo, Lars J. Grimm, 2020, Medical Imaging.

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans pdf

Ehsan Samei, Maciej A. Mazurowski, Wanyi Fu, 2020, ArXiv.

CT phantom with 3D anthropomorphic, contrast-enhanced texture

Ehsan Samei, Joseph Y. Lo, Hope Pegues, 2020 .

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

Lawrence Carin, Maciej A. Mazurowski, Joseph Y. Lo, 2020, Medical Image Anal..

Virtual imaging trials: an emerging experimental paradigm in imaging research and practice

Maciej A. Mazurowski, Paul Segars, Joseph Y. Lo, 2020 .

iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry pdf

Ehsan Samei, Wanyi Fu, Shobhit Sharma, 2020, IEEE Journal of Biomedical and Health Informatics.

Attention-guided classification of abnormalities in semi-structured computed tomography reports

Rui Hou, Joseph Y. Lo, Geoffrey D. Rubin, 2020, Medical Imaging.

Deep learning of 3D computed tomography (CT) images for organ segmentation using 2D multi-channel SegNet model

Maciej A. Mazurowski, Wanyi Fu, Vignesh Selvakumaran, 2019, Medical Imaging.

Image Processing and Computer Aided Diagnosis in Computed Tomography of the Breast

Joseph Y. Lo, Jessie Q. Xia, 2007 .

A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography

Maciej A. Mazurowski, Rui Hou, Joseph Y. Lo, 2020, Medical Imaging.

Perceptron error surface analysis: a case study in breast cancer diagnosis

Georgia D. Tourassi, Rene Vargas-Voracek, Carey E. Floyd, 2002, Comput. Biol. Medicine.

Evaluation of possible phantoms for assessment of image quality in synthetic mammograms

Hilde Bosmans, Nicholas Marshall, Lesley Cockmartin, 2020 .