Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications
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Published By Springer International Publishing

9783319136912, 9783319136929

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_10 ◽

2014 ◽

pp. 103-113 ◽

Cited By ~ 8

Author(s):

Amal Farag ◽

Le Lu ◽

Evrim Turkbey ◽

Jiamin Liu ◽

Ronald M. Summers

Keyword(s):

Ct Scans ◽

Abdominal Ct ◽

Bottom Up ◽

Pancreas Segmentation

Feasibility of Single-Input Tracer Kinetic Modeling with Continuous-Time Formalism in Liver 4-Phase Dynamic Contrast-Enhanced CT

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_6 ◽

2014 ◽

pp. 62-73

Author(s):

Sang Ho Lee ◽

Yasuji Ryu ◽

Koichi Hayano ◽

Hiroyuki Yoshida

Keyword(s):

Continuous Time ◽

Phase Dynamic ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Time Formalism ◽

Tracer Kinetic ◽

Single Input ◽

Dynamic Contrast Enhanced Ct

A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_3 ◽

2014 ◽

pp. 23-32

Author(s):

Elina Naydenova ◽

Amalia Cifor ◽

Esme Hill ◽

Jamie Franklin ◽

Ricky A. Sharma ◽

...

Keyword(s):

Liver Cancer ◽

Cancer Treatment ◽

Treatment Response ◽

Perfusion Ct

A Bilinear Model for Temporally Coherent Respiratory Motion

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_21 ◽

2014 ◽

pp. 221-228

Author(s):

Frank Preiswerk ◽

Philippe C. Cattin

Keyword(s):

Respiratory Motion ◽

Bilinear Model

Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn’s Disease Segmentation

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_13 ◽

2014 ◽

pp. 139-147

Author(s):

Dwarikanath Mahapatra ◽

Peter J. Schüffler ◽

Jeroen A. W. Tielbeek ◽

Carl A. J. Puylaert ◽

Jesica C. Makanyanga ◽

...

Keyword(s):

Crohn’S Disease ◽

Crohn's Disease ◽

Supervised Learning ◽

Graph Cuts

Kinetic Textural Biomarker for Predicting Survival of Patients with Advanced Hepatocellular Carcinoma After Antiangiogenic Therapy by Use of Baseline First-Pass Perfusion CT

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_5 ◽

2014 ◽

pp. 48-61

Author(s):

Sang Ho Lee ◽

Koichi Hayano ◽

Dushyant V. Sahani ◽

Andrew X. Zhu ◽

Hiroyuki Yoshida

Keyword(s):

Hepatocellular Carcinoma ◽

Antiangiogenic Therapy ◽

Perfusion Ct ◽

Advanced Hepatocellular Carcinoma ◽

Pass Perfusion ◽

First Pass ◽

First Pass Perfusion

Modeling and Analysis of Bioimpedance Measurements

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_28 ◽

2014 ◽

pp. 287-294

Author(s):

Alexander Danilov ◽

Vasily Kramarenko ◽

Alexandra Yurova

Keyword(s):

Modeling And Analysis

MRI-Based Thickness Analysis of Bladder Cancer: A Pilot Study

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_24 ◽

2014 ◽

pp. 248-256

Author(s):

Xi Zhang ◽

Yang Liu ◽

Dan Xiao ◽

Guopeng Zhang ◽

Qimei Liao ◽

...

Keyword(s):

Bladder Cancer ◽

Pilot Study

A Novel Visualization Technique for Virtual Colonoscopy Using One-Sided Transparency

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_19 ◽

2014 ◽

pp. 199-208

Author(s):

Robert Curtin ◽

Aly Farag ◽

Salwa Elshzaly ◽

Marwa Ismail ◽

Charles Sites ◽

...

Keyword(s):

Virtual Colonoscopy ◽

Visualization Technique

Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_12 ◽

2014 ◽

pp. 128-138 ◽

Cited By ~ 1

Author(s):

Peter J. Schüffler ◽

Dwarikanath Mahapatra ◽

Robiel Naziroglu ◽

Zhang Li ◽

Carl A. J. Puylaert ◽

...

Keyword(s):

Crohn’S Disease ◽

Crohn's Disease ◽

Mr Imaging ◽

Disease Severity ◽

Severity Estimation

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

Feasibility of Single-Input Tracer Kinetic Modeling with Continuous-Time Formalism in Liver 4-Phase Dynamic Contrast-Enhanced CT

A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT

A Bilinear Model for Temporally Coherent Respiratory Motion

Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn’s Disease Segmentation

Kinetic Textural Biomarker for Predicting Survival of Patients with Advanced Hepatocellular Carcinoma After Antiangiogenic Therapy by Use of Baseline First-Pass Perfusion CT

Modeling and Analysis of Bioimpedance Measurements

MRI-Based Thickness Analysis of Bladder Cancer: A Pilot Study

A Novel Visualization Technique for Virtual Colonoscopy Using One-Sided Transparency

Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications
Latest Publications