Related references
Note: Only part of the references are listed.A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT
Joseph E. Burns et al.
ACADEMIC RADIOLOGY (2020)
Radiographic assessment of sarcopenia in the trauma setting: a systematic review
Daniel M. Zumsteg et al.
TRAUMA SURGERY & ACUTE CARE OPEN (2020)
Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study
Perry J. Pickhardt et al.
LANCET DIGITAL HEALTH (2020)
Sarcopenia: revised European consensus on definition and diagnosis
Alfonso J. Cruz-Jentoft et al.
AGE AND AGEING (2019)
Financial impact of sarcopenia or low muscle mass - A short review
Kristina Norman et al.
CLINICAL NUTRITION (2019)
Volume and in-hospital mortality after emergency abdominal surgery: a national population-based study
Deirdre M. Nally et al.
BMJ OPEN (2019)
Sarcopenia predicts 90-day mortality in elderly patients undergoing emergency abdominal surgery
Erik Brandt et al.
ABDOMINAL RADIOLOGY (2019)
Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
An Tang et al.
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES (2018)
Mortality rates of patients undergoing emergency laparotomy in an Irish university teaching hospital
Aoife C. Kiernan et al.
IRISH JOURNAL OF MEDICAL SCIENCE (2018)
Skeletal muscle loss is an independent negative prognostic factor in patients with advanced lower rectal cancer treated with neoadjuvant chemoradiotherapy
Yasuhiro Takeda et al.
PLOS ONE (2018)
Is sarcopenia a useful predictor of outcome in patients after emergency laparotomy? A study using the NELA database
John Trotter et al.
ANNALS OF THE ROYAL COLLEGE OF SURGEONS OF ENGLAND (2018)
Sarcopenia in emergency abdominal surgery
Rebecca C. Dirks et al.
JOURNAL OF SURGICAL RESEARCH (2017)
Sarcopenia increases risk of long-term mortality in elderly patients undergoing emergency abdominal surgery
Erika L. Rangel et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2017)
Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
Paras Lakhani et al.
RADIOLOGY (2017)
Computed tomography measured psoas density predicts outcomes in trauma
Taehwan Yoo et al.
SURGERY (2017)
Sarcopenia increases risk of long-term mortality in elderly patients undergoing emergency abdominal surgery
Erika L. Rangel et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2017)
Prognostic value of sarcopenia in adults with solid tumours: A meta-analysis and systematic review
Shlomit Strulov Shachar et al.
EUROPEAN JOURNAL OF CANCER (2016)
Implications of Sarcopenia in Major Surgery
Jeffrey Friedman et al.
NUTRITION IN CLINICAL PRACTICE (2015)
Sarcopenia is a predictor of outcomes in very elderly patients undergoing emergency surgery
Yang Du et al.
SURGERY (2014)
Current UK practice in emergency laparotomy
E. Barrow et al.
ANNALS OF THE ROYAL COLLEGE OF SURGEONS OF ENGLAND (2013)
The ASA classification and peri-operative risk
Jo Fitz-Henry
ANNALS OF THE ROYAL COLLEGE OF SURGEONS OF ENGLAND (2011)
A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care
Marina Mourtzakis et al.
APPLIED PHYSIOLOGY NUTRITION AND METABOLISM (2008)
Sarcopenia is predictive of nosocomial infection in care of the elderly
Gaelle Cosqueric et al.
BRITISH JOURNAL OF NUTRITION (2006)
Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image
W Shen et al.
JOURNAL OF APPLIED PHYSIOLOGY (2004)
Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability
I Janssen et al.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY (2002)
Sarcopenia
JE Morley et al.
JOURNAL OF LABORATORY AND CLINICAL MEDICINE (2001)
Share Paper
