E-LIB Suche - Ergebnisse für: Vens, N.

1

Kontaktallergene der Standardreihe von 1980–2004 an der Uni..:

Hoeller Obrigkeit, D. ; Vens, N. ; Merk, H. F..
Der Hautarzt. 56 (2005) 12 - p. 1125-1132 , 2005

Link: https://doi.org/10.1007/..

2

A joint physics and radiobiology DREAM team vision – Toward..:

Vens, C. ; van Luijk, P. ; Vogelius, R.I....
Radiotherapy and Oncology. 196 (2024) - p. 110277 , 2024

Link: https://doi.org/10.1016/..

3

OC-0692: Phase 1 study of olaparib as radiosensitizer for l..:

De Haan, R. ; Van Diessen, J. ; Peulen, H.M.U....
Radiotherapy and Oncology. 152 (2020) - p. S386-S387 , 2020

Link: https://doi.org/10.1016/..

4

Echocardiographic phenogrouping by machine learning for ris..:

Sabovcik, F ; Cauwenberghs, N ; Vens, C.
European Heart Journal. 41 (2020) Supplement_2 - p. , 2020

Link: https://doi.org/10.1093/..

5

Micro cone beam computed tomography for sensitive assessmen..:

van Berlo, D. ; Khmelinskii, A. ; Gasparini, A....
Radiotherapy and Oncology. 138 (2019) - p. 17-24 , 2019

Link: https://doi.org/10.1016/..

6

P3819Machine learning for predicting early left ventricular..:

Kuznetsova, T ; Cauwenberghs, N ; Haddad, F..
European Heart Journal. 40 (2019) Supplement_1 - p. , 2019

Link: https://doi.org/10.1093/..

7

A machine learning based framework to identify and classify..:

Schietgat, Leander ; Vens, Celine ; Cerri, Ricardo...
PLOS Computational Biology. 14 (2018) 4 - p. e1006097 , 2018

Link: https://doi.org/10.1371/..

8

A benchmark for evaluation of algorithms for identification..:

Aghaeepour, Nima ; Chattopadhyay, Pratip ; Chikina, Maria...
Cytometry Part A. 89 (2015) 1 - p. 16-21 , 2015

Link: https://doi.org/10.1002/..

9

Learning HMMs for nucleotide sequences from amino acid alig..:

Fischer, Carlos N. ; Carareto, Claudia M. A. ; dos Santos, Renato A. C....
Bioinformatics. 31 (2015) 11 - p. 1836-1838 , 2015

Link: https://doi.org/10.1093/..

10

FloReMi: Flow density survival regression using minimal fea..:

Van Gassen, Sofie ; Vens, Celine ; Dhaene, Tom..
Cytometry Part A. 89 (2015) 1 - p. 22-29 , 2015

Link: https://doi.org/10.1002/..

11

Robust BRCA1‐like classification of copy number profiles of..:

Schouten, Philip C. ; Grigoriadis, Anita ; Kuilman, Thomas...
Molecular Oncology. 9 (2015) 7 - p. 1274-1286 , 2015

Link: https://doi.org/10.1016/..

12

Micro cone beam computed tomography for sensitive assessmen..:

van Berlo, D ; Khmelinskii, A ; Gasparini, A...
https://research.rug.nl/en/publications/62028192-758d-43ed-98e1-92dab5e79d75. , 2019

Link: https://hdl.handle.net/1..

13

A machine learning based framework to identify and classify..:

Schietgat, Leander ; Vens, Celine ; Ramon, Jan...
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1006097. , 2018

Link: https://inria.hal.scienc..

14

A machine learning based framework to identify and classify..:

Schietgat, Leander ; Vens, Celine ; Cerri, Ricardo...
PLoS Computational Biology. , 2018

Link: http://hdl.handle.net/11..

15

Robust BRCA1‐like classification of copy number profiles of..:

Schouten, Philip C ; Grigoriadis, Anita ; Kuilman, Thomas...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5528812/. , 2015

Link: http://www.ncbi.nlm.nih...