Publikationen | Institut für Medizinische Informatik

MIDL 2021

International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

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2018

Li F., Shirahama K., Nisar M.A., Köping L., Grzegorzek M.
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.
Sensors (Basel, Switzerland), 18, 2, 2018

2007

Behrman M., Linder R., Assadi A.H., Stacey B.R., Backonja M.-M.
Classification of Patients with Pain Based on Neuropathic Pain Symptoms: Comparison of an Artificial Neural Network against an Established Scoring System
European journal of pain (London, England), 11, 4, 370-6, 2007

Linder R., Richards T., Wagner M.
Microarray Data classified by Artificial Neural Networks
Methods in molecular biology (Clifton, N.J.), 382, 345-72, 2007

2006

Linder R., König I.R., Weimar C., Diener H.C., Pöppl S.J., Ziegler A.
Two Models for Outcome Prediction - a Comparison of Logistic Regression and Neural Networks
Methods of information in medicine, 45, 5, 536-40, 2006

2003

Linder R., Mohamed E.I., De Lorenzo A., Pöppl S.J.
The Capabilities of Artificial Neural Networks in Body Composition Research
Acta diabetologica, 40 Suppl 1, S9-14, 2003

Linder R., Reinhold-Keller E., Gross W.L.
Use of an artificial neural network to predict cancer development in patients with inflammatory myopathy: comment on the letter by Selva O'Callaghan et al.
Arthritis and rheumatism, 48, 4, 1168-9;authorreply1169-70, 2003

Mohamed E.I., Maiolo C., Linder R., Pöppl S.J., De Lorenzo A.
Artificial Neural Network Analysis: A Novel Application for Predicting Site-Specific Bone Mineral Density
Acta diabetologica, 40 Suppl 1, S19-22, 2003

Mohamed E.I., Maiolo C., Linder R., Pöppl S.J., De Lorenzo A.
Predicting the Intracellular Water Compartment using Artificial Neural Network Analysis
Acta diabetologica, 40 Suppl 1, S15-8, 2003

2002

Linder R., Dinser R., Wagner M., Krueger G.R.F., Hoffmann A.
Generation of classification criteria for chronic fatigue syndrome using an artificial neural network and traditional criteria set.
In vivo (Athens, Greece), 16, 1, 37-43, 2002

Mohamed E.I., Linder R., Perriello G., Di Daniele N., Pöppl S.J., De Lorenzo A.
Predicting Type 2 Diabetes Using an Electronic Nose-based Artificial Neural Network Analysis
Diabetes, nutrition & metabolism, 15, 4, 215-21, 2002

2001

Schmitt W.H., Linder R., Reinhold-Keller E., Gross W.L.
Improved Differentiation Between Churg-Strauss Syndrome and Wegener's Granulomatosis by an Artificial Neural Network
Arthritis and rheumatism, 44, 8, 1887-96, 2001

2000

Linder R., Pöppl S.J.
Artificial Neural Networks for Classifying Olfactory Signals
Studies in health technology and informatics, 77, 1220-5, 2000

1999

Handels H., Ross T., Kreusch J., Wolff H.H., Pöppl S.J.
Computer-Supported Diagnosis of Melanoma in Profilometry
Methods of information in medicine, 38, 1, 43-9, 1999

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