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Quantitative and Volumetric European Association for the Study of the Liver and Response Evaluation Criteria in Solid Tumors Measurements: Feasibility of a Semiautomated Software Method to Assess Tumor Response after Transcatheter Arterial Chemoembolization

Journal of vascular and interventional radiology, 2012-12, Vol.23 (12), p.1629-1637

2012

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Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT

Insights into imaging, 2022-01, Vol.13 (1), p.13-13, Article 13

2022

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Comparison of Semi-automatic Volumetric VX2 Hepatic Tumor Segmentation from Cone Beam CT and Multi-detector CT with Histology in Rabbit Models

Academic radiology, 2013-01, Vol.20 (1), p.115-121

2013

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Re “Pre-Surgical and Post-Surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence”

European journal of vascular and endovascular surgery, 2022-03, Vol.63 (3), p.525-526

2022

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Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence

European journal of vascular and endovascular surgery, 2021-12, Vol.62 (6), p.869-877

2021

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Semiautomatic Volumetric Tumor Segmentation for Hepatocellular Carcinoma

Academic radiology, 2013-04, Vol.20 (4), p.446-452

2013

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Multicentric clinical evaluation of a computed tomography-based fully automated deep neural network for aortic maximum diameter and volumetric measurements

Journal of vascular surgery, 2024-06, Vol.79 (6), p.1390-1400.e8

2024

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Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival?

Radiology, 2017-06, Vol.283 (3), p.883

2017

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Leveraging conditional generative models in a general explanation framework of classifier decisions

Future generation computer systems, 2022-07, Vol.132, p.223-238

2022

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Semiautomatic volumetric tumor segmentation for hepatocellular carcinoma: comparison between C-arm cone beam computed tomography and MRI

Academic radiology, 2013-04, Vol.20 (4), p.446-452

2013

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Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.7188-7195

2021

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Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 2012, Vol.15 (Pt 3), p.66-74

2012

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Fast kidney detection and segmentation with learned kernel convolution and model deformation in 3D ultrasound images

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.268-271

2015

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IEEE_Xplore

Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection

Medical Image Learning with Limited and Noisy Data, p.95-105

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Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions

Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, p.44-55

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Classification of MRI data using deep learning and Gaussian process-based model selection

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, p.745-748

2017

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IEEE_Xplore

Rapid assessment of liver volumetry by a novel automated segmentation algorithm

Journal of computer assisted tomography, 2013-07, Vol.37 (4), p.577-582

2013

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Optimizing Transformations for Contrastive Learning in a Differentiable Framework

Medical Image Learning with Limited and Noisy Data, p.96-105

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Multiple template deformation application to abdominal organ segmentation

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.359-362

2015

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IEEE_Xplore

Joint Co-segmentation and Registration of 3D Ultrasound Images

Information Processing in Medical Imaging, p.268-279

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Fast Constrained Surface Extraction by Minimal Paths

International journal of computer vision, 2006-08, Vol.69 (1), p.127-136

2006

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Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework

Scale Space and Variational Methods in Computer Vision, Vol.4485, p.214-226

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Semiautomatic volumetric tumor segmentation for hepatocellular carcinoma : comparison between C-arm cone beam computed tomography and MRI

Academic radiology, 2014-04, Vol.20 (4), p.446-452

2014

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Semi-automatic volumetric tumor segmentation for hepatocellular carcinoma: Comparison between C-arm Cone Beam Computed Tomography and MRI

Academic radiology, 2013-04, Vol.20 (4), p.446-452

2013

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Multi-organ Detection in 3D Fetal Ultrasound with Machine Learning

Fetal, Infant and Ophthalmic Medical Image Analysis, p.62-72

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Quantitative and Volumetric European Association for the Study of the Liver and Response Evaluation Criteria in Solid Tumors Measurements: Feasibility of a Semiautomated Software Method to Assess Tumor Response after Transcatheter Arterial Chemoembolization

Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT

Comparison of Semi-automatic Volumetric VX2 Hepatic Tumor Segmentation from Cone Beam CT and Multi-detector CT with Histology in Rabbit Models

Re “Pre-Surgical and Post-Surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence”

Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence

Semiautomatic Volumetric Tumor Segmentation for Hepatocellular Carcinoma

Multicentric clinical evaluation of a computed tomography-based fully automated deep neural network for aortic maximum diameter and volumetric measurements

Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival?

Leveraging conditional generative models in a general explanation framework of classifier decisions

Semiautomatic volumetric tumor segmentation for hepatocellular carcinoma: comparison between C-arm cone beam computed tomography and MRI

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification

Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests

Fast kidney detection and segmentation with learned kernel convolution and model deformation in 3D ultrasound images

Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection

Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions

Classification of MRI data using deep learning and Gaussian process-based model selection

Rapid assessment of liver volumetry by a novel automated segmentation algorithm

Optimizing Transformations for Contrastive Learning in a Differentiable Framework

Multiple template deformation application to abdominal organ segmentation

Joint Co-segmentation and Registration of 3D Ultrasound Images

Fast Constrained Surface Extraction by Minimal Paths

Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework

Semiautomatic volumetric tumor segmentation for hepatocellular carcinoma : comparison between C-arm cone beam computed tomography and MRI

Semi-automatic volumetric tumor segmentation for hepatocellular carcinoma: Comparison between C-arm Cone Beam Computed Tomography and MRI

Multi-organ Detection in 3D Fetal Ultrasound with Machine Learning

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