User profiles for C. Lippert
Christoph LippertProfessor, Hasso Plattner Institute, Universität Potsdam Verified email at hpi.de Cited by 6002 |
A systematic review of the rehabilitation of moderate to severe acquired brain injuries
…, D Mackie, L Rees, C Hartridge, C Lippert… - Brain injury, 2007 - Taylor & Francis
Objective: To conduct a systematic review of the rehabilitation literature of moderate to severe
acquired brain injuries (ABI) from traumatic and non-traumatic causes. Methods: A review …
acquired brain injuries (ABI) from traumatic and non-traumatic causes. Methods: A review …
Community reintegration following acquired brain injury
…, C Lippert, M Weiser, M Hilditch, C Hartridge… - Brain Injury, 2007 - Taylor & Francis
Objective: To evaluate the interventions and strategies used to enable transition from acute
care or post-acute rehabilitation to the community following brain injury. Methods and main …
care or post-acute rehabilitation to the community following brain injury. Methods and main …
Gemcitabine and cisplatin versus methotrexate, vinblastine, doxorubicin, and cisplatin in advanced or metastatic bladder cancer: results of a large, randomized …
…, I Bodrogi, P Albers, A Knuth, CM Lippert… - Journal of clinical …, 2000 - ascopubs.org
… Dogliotti, Ospedale S Luigi Gonzaga, Cattedra Di Oncologia Medica, Orbassano; C. Barone,
Universita Cattolica Del Sacro Cuore, Istituto Di Medicina Interna E Geriatriai, … CM Lippert …
Universita Cattolica Del Sacro Cuore, Istituto Di Medicina Interna E Geriatriai, … CM Lippert …
FaST linear mixed models for genome-wide association studies
We describe factored spectrally transformed linear mixed models (FaST-LMM), an algorithm
for genome-wide association studies (GWAS) that scales linearly with cohort size in both run …
for genome-wide association studies (GWAS) that scales linearly with cohort size in both run …
Whole-genome sequencing of multiple Arabidopsis thaliana populations
… However, biased gene conversion should affect G:C→A:T and C:G→A:T substitutions …
We furthermore noticed that G:C→A:T transitions were not equally distributed throughout the …
We furthermore noticed that G:C→A:T transitions were not equally distributed throughout the …
[HTML][HTML] On the effects that motivate pesticide use in perspective of designing a cropping system without pesticides but with mineral fertilizer—a review
I Pergner, C Lippert - Agronomy for Sustainable Development, 2023 - Springer
In the future, a cropping system that guarantees food security by delivering high yields and,
simultaneously, protects our environment is desperately needed. This can be achieved …
simultaneously, protects our environment is desperately needed. This can be achieved …
Improved linear mixed models for genome-wide association studies
Methods) that includes family members and non-Caucasians, FaST-LMM-Select yielded
slightly less inflation, fewer false positives and fewer false negatives (due to lack of dilution) …
slightly less inflation, fewer false positives and fewer false negatives (due to lack of dilution) …
Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies
Pathogenic variants in genes that cause dilated cardiomyopathy (DCM) and arrhythmogenic
cardiomyopathy (ACM) convey high risks for the development of heart failure through …
cardiomyopathy (ACM) convey high risks for the development of heart failure through …
3d self-supervised methods for medical imaging
Self-supervised learning methods have witnessed a recent surge of interest after proving
successful in multiple application fields. In this work, we leverage these techniques, and we …
successful in multiple application fields. In this work, we leverage these techniques, and we …
[HTML][HTML] Time to reality check the promises of machine learning-powered precision medicine
Machine learning methods, combined with large electronic health databases, could enable
a personalised approach to medicine through improved diagnosis and prediction of …
a personalised approach to medicine through improved diagnosis and prediction of …