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The Comprehensive Resource Model: Effective therapeutic techniques for the healing of complex trauma

1, 2016

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Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Scientific reports, 2023-05, Vol.13 (1), p.7579-7579, Article 7579

2023

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Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

American journal of roentgenology (1976), 2023-02, Vol.220 (2), p.245

2023

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Imaging of Emphysematous Osteomyelitis

PM & R, 2019-03, Vol.11 (3), p.322-324

2019

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Relative Importance of Fine Needle Aspiration Features for Breast Cancer Diagnosis: A Study Using Information Gain Evaluation and Machine Learning

Journal of the American Society of Cytopathology JASC, 2012-11, Vol.1 (1), p.S11-S11

Raju, Rajiv

2012

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LBP14 - Proof-of-concept use of machine learning to predict tumor recurrence of early-stage hepatocellular carcinoma before therapy using baseline magnetic resonance imaging

Journal of hepatology, 2020-08, Vol.73, p.S130-S131

2020

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Proof-of-concept use of machine learning to predict tumor recurrence of early-stage hepatocellular carcinoma before therapy using baseline magnetic resonance imaging

Journal of hepatology, 2020-08, Vol.73, p.S130-S131

2020

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Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach

Journal of vascular and interventional radiology, 2022-03, Vol.33 (3), p.324-332.e2

2022

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Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma

Clinical imaging, 2021-08, Vol.76, p.123-129

2021

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Overview of the model

The Comprehensive Resource Model, p.28-36

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Application of CRM to the treatment of dissociative identity disorder

The Comprehensive Resource Model, p.228-247

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Secondary resources and additional protocols

The Comprehensive Resource Model, p.194-210

Volltextzugriff (PDF)

Resource grids

The Comprehensive Resource Model, p.116-129

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Attachment resources in CRM

The Comprehensive Resource Model, p.130-150

Volltextzugriff (PDF)

Stepping into the affect

The Comprehensive Resource Model, p.57-75

Volltextzugriff (PDF)

Introduction

The Comprehensive Resource Model, p.21-27

Volltextzugriff (PDF)

The core self in CRM: Theoretical aspects

The Comprehensive Resource Model, p.168-181

Volltextzugriff (PDF)

Breathing

The Comprehensive Resource Model, p.101-110

Volltextzugriff (PDF)

Cutting off the pain and terror

The Comprehensive Resource Model, p.76-83

Volltextzugriff (PDF)

Sacred place

The Comprehensive Resource Model, p.111-115

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The core self in CRM: Clinical aspects

The Comprehensive Resource Model, p.158-167

Volltextzugriff (PDF)

Frozen breath

The Comprehensive Resource Model, p.48-56

Volltextzugriff (PDF)

Distress

The Comprehensive Resource Model, p.151-157

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The challenges of trauma

The Comprehensive Resource Model, p.37-47

Volltextzugriff (PDF)

Re-membering, re-experiencing, re-processing, re-orienting, re-consolidating and re-newing

The Comprehensive Resource Model, p.84-92

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The Comprehensive Resource Model: Effective therapeutic techniques for the healing of complex trauma

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

Imaging of Emphysematous Osteomyelitis

Relative Importance of Fine Needle Aspiration Features for Breast Cancer Diagnosis: A Study Using Information Gain Evaluation and Machine Learning

LBP14 - Proof-of-concept use of machine learning to predict tumor recurrence of early-stage hepatocellular carcinoma before therapy using baseline magnetic resonance imaging

Proof-of-concept use of machine learning to predict tumor recurrence of early-stage hepatocellular carcinoma before therapy using baseline magnetic resonance imaging

Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach

Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma

Overview of the model

Application of CRM to the treatment of dissociative identity disorder

Secondary resources and additional protocols

Resource grids

Attachment resources in CRM

Stepping into the affect

Introduction

The core self in CRM: Theoretical aspects

Breathing

Cutting off the pain and terror

Sacred place

The core self in CRM: Clinical aspects

Frozen breath

Distress

The challenges of trauma

Re-membering, re-experiencing, re-processing, re-orienting, re-consolidating and re-newing

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