UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Development and assessment of machine learning algorithms for predicting remission after transsphenoidal surgery among patients with acromegaly

Endocrine, 2020-02, Vol.67 (2), p.412-422

2020

Volltextzugriff (PDF)

Transsphenoidal versus Transcranial Approach for Treatment of Tuberculum Sellae Meningiomas: A Systematic Review and Meta-analysis of Comparative Studies

Scientific reports, 2019-03, Vol.9 (1), p.4882-4882, Article 4882

2019

Volltextzugriff (PDF)

Vincristine and temozolomide combined chemotherapy for the treatment of glioma: a comparison of solid lipid nanoparticles and nanostructured lipid carriers for dual drugs delivery

Drug delivery, 2016-10, Vol.23 (8), p.2720-2725

2016

Volltextzugriff (PDF)

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

Frontiers in endocrinology (Lausanne), 2019-08, Vol.10, p.588-588

2019

Volltextzugriff (PDF)

Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease

Frontiers in endocrinology (Lausanne), 2021-03, Vol.12, p.635795-635795

2021

Volltextzugriff (PDF)

Preoperative Noninvasive Radiomics Approach Predicts Tumor Consistency in Patients With Acromegaly: Development and Multicenter Prospective Validation

Frontiers in endocrinology (Lausanne), 2019-06, Vol.10, p.403-403

2019

Volltextzugriff (PDF)

Non-Invasive Preoperative Imaging Differential Diagnosis of Intracranial Hemangiopericytoma and Angiomatous Meningioma: A Novel Developed and Validated Multiparametric MRI-Based Clini-Radiomic Model

Frontiers in oncology, 2022-01, Vol.11, p.792521-792521

2022

Volltextzugriff (PDF)

Electronic Medical Records as Input to Predict Postoperative Immediate Remission of Cushing's Disease: Application of Word Embedding

Frontiers in oncology, 2021-10, Vol.11, p.754882-754882

2021

Volltextzugriff (PDF)

Deep-learning-based automatic segmentation and classification for craniopharyngiomas

Frontiers in oncology, 2023-05, Vol.13, p.1048841-1048841

2023

Volltextzugriff (PDF)

Predicting delayed remission in Cushing's disease using radiomics models: a multi-center study

Frontiers in oncology, 2024-01, Vol.13, p.1218897-1218897

2024

Volltextzugriff (PDF)

Transsphenoidal Surgery of Corticotroph Adenomas With Cavernous Sinus Invasion: Results in a Series of 86 Consecutive Patients

Frontiers in oncology, 2022-02, Vol.12, p.810234-810234

2022

Volltextzugriff (PDF)

Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up

Frontiers in endocrinology (Lausanne), 2020-09, Vol.11, p.643-643

2020

Volltextzugriff (PDF)

Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With Meningioma

Frontiers in oncology, 2021-04, Vol.11, p.625220-625220

2021

Volltextzugriff (PDF)

Bibliometric analysis of publication trends in chordoma research (1992−2021)

Interdisciplinary neurosurgery : Advanced techniques and case management, 2022-09, Vol.29, p.101589, Article 101589

2022

Volltextzugriff (PDF)

Application of Radiomics in Central Nervous System Diseases: a Systematic literature review

Clinical neurology and neurosurgery, 2019-12, Vol.187, p.105565-105565, Article 105565

2019

Volltextzugriff (PDF)

Long noncoding RNA HOTTIP as an independent prognostic marker in cancer

Clinica chimica acta, 2018-07, Vol.482, p.224-230

2018

Volltextzugriff (PDF)

Non-invasive preoperative imaging differential diagnosis of pineal region tumor: A novel developed and validated multiparametric MRI-based clinicoradiomic model

Radiotherapy and oncology, 2022-02, Vol.167, p.277-284

2022

Volltextzugriff (PDF)

MPC1 deletion is associated with poor prognosis and temozolomide resistance in glioblastoma

Journal of neuro-oncology, 2019-09, Vol.144 (2), p.293-301

2019

Volltextzugriff (PDF)

Development and Evaluation of Deep Learning-based Automated Segmentation of Pituitary Adenoma in Clinical Task

The journal of clinical endocrinology and metabolism, 2021-09, Vol.106 (9), p.2535-2546

2021

Volltextzugriff (PDF)

Endothelial cell-derived exosomes protect SH-SY5Y nerve cells against ischemia/reperfusion injury

International journal of molecular medicine, 2017-10, Vol.40 (4), p.1201-1209

2017

Volltextzugriff (PDF)

NIMG-22. DEVELOPMENT AND VALIDATION OF A RADIOMIC MODEL FOR RWDD3 EXPRESSION PREDICTION IN PATIENTS WITH ACROMEGALY

Neuro-oncology (Charlottesville, Va.), 2019-11, Vol.21 (Supplement_6), p.vi166-vi166

2019

Volltextzugriff (PDF)

NIMG-22. DEVELOPMENT AND VALIDATION OF A RADIOMIC MODEL FOR RWDD3 EXPRESSION PREDICTION IN PATIENTS WITH ACROMEGALY

Neuro-oncology (Charlottesville, Va.), 2019-11, Vol.21 (Suppl 6), p.vi166-vi166

2019

Volltextzugriff (PDF)

Noninvasive radiomics approach predicts dopamine agonists treatment response in patients with prolactinoma: a multicenter study

Academic radiology, 2024-09

2024

Volltextzugriff (PDF)

Predictors of Immediate Remission after Surgery in Cushing’s Disease Patients: A Large Retrospective Study from a Single Center

Neuroendocrinology, 2021-10, Vol.111 (11), p.1141-1150

2021

Volltextzugriff (PDF)

Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing’s Disease

The journal of clinical endocrinology and metabolism, 2021-01, Vol.106 (1), p.e217-e231

2021

Volltextzugriff (PDF)

1 – 25 von 84

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(73)
Mit Volltextzugriff
(79)

Publikationsform

Sprache

Englisch
(78)
Chinesisch
(6)

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(1)

Menü

Weitere Dienste

Einstellungen

Development and assessment of machine learning algorithms for predicting remission after transsphenoidal surgery among patients with acromegaly

Transsphenoidal versus Transcranial Approach for Treatment of Tuberculum Sellae Meningiomas: A Systematic Review and Meta-analysis of Comparative Studies

Vincristine and temozolomide combined chemotherapy for the treatment of glioma: a comparison of solid lipid nanoparticles and nanostructured lipid carriers for dual drugs delivery

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease

Preoperative Noninvasive Radiomics Approach Predicts Tumor Consistency in Patients With Acromegaly: Development and Multicenter Prospective Validation

Non-Invasive Preoperative Imaging Differential Diagnosis of Intracranial Hemangiopericytoma and Angiomatous Meningioma: A Novel Developed and Validated Multiparametric MRI-Based Clini-Radiomic Model

Electronic Medical Records as Input to Predict Postoperative Immediate Remission of Cushing's Disease: Application of Word Embedding

Deep-learning-based automatic segmentation and classification for craniopharyngiomas

Predicting delayed remission in Cushing's disease using radiomics models: a multi-center study

Transsphenoidal Surgery of Corticotroph Adenomas With Cavernous Sinus Invasion: Results in a Series of 86 Consecutive Patients

Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up

Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With Meningioma

Bibliometric analysis of publication trends in chordoma research (1992−2021)

Application of Radiomics in Central Nervous System Diseases: a Systematic literature review

Long noncoding RNA HOTTIP as an independent prognostic marker in cancer

Non-invasive preoperative imaging differential diagnosis of pineal region tumor: A novel developed and validated multiparametric MRI-based clinicoradiomic model

MPC1 deletion is associated with poor prognosis and temozolomide resistance in glioblastoma

Development and Evaluation of Deep Learning-based Automated Segmentation of Pituitary Adenoma in Clinical Task

Endothelial cell-derived exosomes protect SH-SY5Y nerve cells against ischemia/reperfusion injury

NIMG-22. DEVELOPMENT AND VALIDATION OF A RADIOMIC MODEL FOR RWDD3 EXPRESSION PREDICTION IN PATIENTS WITH ACROMEGALY

NIMG-22. DEVELOPMENT AND VALIDATION OF A RADIOMIC MODEL FOR RWDD3 EXPRESSION PREDICTION IN PATIENTS WITH ACROMEGALY

Noninvasive radiomics approach predicts dopamine agonists treatment response in patients with prolactinoma: a multicenter study

Predictors of Immediate Remission after Surgery in Cushing’s Disease Patients: A Large Retrospective Study from a Single Center

Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing’s Disease

Suchergebnisse filtern