Fred A. Hamprecht

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	14449	8091
h-индекс	56	38
i10-индекс	146	107

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Публичен достъп

Преглед на всички

69 статии

3 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Bjoern H MenzeUniversität Zürich, TU MünchenПотвърден имейл адрес: uzh.ch
Anna KreshukGroup Leader, EMBL HeidelbergПотвърден имейл адрес: embl.de
Bjoern AndresTU DresdenПотвърден имейл адрес: andres.sc
Christoph-Nikolas StraehleResearch Scientist, Bosch Center for Artificial IntelligenceПотвърден имейл адрес: de.bosch.com
Thorsten BeierQuantStackПотвърден имейл адрес: quantstack.net
Hanno SteenAssociate Professor of Pathology, Harvard Medical SchoolПотвърден имейл адрес: childrens.harvard.edu
Carsten HauboldPhD Student, University of HeidelbergПотвърден имейл адрес: iwr.uni-heidelberg.de
Bernhard RenardHasso Plattner InstituteПотвърден имейл адрес: hpi.de
Martin SchieggResearch Scientist, Bosch Center for AIПотвърден имейл адрес: bosch.com
Judith A. Jebanathirajah SteenAssociate Professor of Neurology, Harvard Medical SchoolПотвърден имейл адрес: childrens.harvard.edu
Christoph SommerIST AustriaПотвърден имейл адрес: ist.ac.at
Melih KandemirAssociate Professor of Machine Learning at the University of Southern DenmarkПотвърден имейл адрес: imada.sdu.dk
Bernhard X. KauslerПотвърден имейл адрес: kausler.net
Jörg Hendrik KappesHeidelberg EngineeringПотвърден имейл адрес: math.uni-heidelberg.de
Graham KnottSenior Scientist, EPFLПотвърден имейл адрес: epfl.ch
Michael HanselmannSenior Manager (AI, Automated Driving), Robert Bosch GmbHПотвърден имейл адрес: de.bosch.com
Xinghua Lou, Ph.D.Vicarious AIПотвърден имейл адрес: vicarious.com
Steffen WolfMRC Laboratory of Molecular Biology, CambridgeПотвърден имейл адрес: mrc-lmb.cam.ac.uk
Ferran DiegoTelefónica ResearchПотвърден имейл адрес: telefonica.com
Constantin PapeJuniorprofessor, University GoettingenПотвърден имейл адрес: embl.de

Следене

Fred A. Hamprecht

Professor, Heidelberg University

Потвърден имейл адрес: iwr.uni-heidelberg.de - Начална страница

Image Analysis Machine Learning Bioimage Analysis Computer Vision


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Development and assessment of new exchange-correlation functionals FA Hamprecht, AJ Cohen, DJ Tozer, NC Handy The Journal of chemical physics 109 (15), 6264-6271, 1998	1662	1998
Ilastik: Interactive learning and segmentation toolkit C Sommer, C Straehle, U Koethe, FA Hamprecht 2011 IEEE international symposium on biomedical imaging: From nano to macro …, 2011	1205	2011
Ilastik: interactive machine learning for (bio) image analysis S Berg, D Kutra, T Kroeger, CN Straehle, BX Kausler, C Haubold, ... Nature methods 16 (12), 1226-1232, 2019	968	2019
A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data BH Menze, BM Kelm, R Masuch, U Himmelreich, P Bachert, W Petrich, ... BMC bioinformatics 10, 1-16, 2009	875	2009
On the spectral bias of neural networks N Rahaman, A Baratin, D Arpit, F Draxler, M Lin, F Hamprecht, Y Bengio, ... International Conference on Machine Learning, 5301-5310, 2019	508	2019
An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017	435	2017
Learning steerable filters for rotation equivariant cnns M Weiler, FA Hamprecht, M Storath Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	289	2018
Three-dimensional quantitative similarity− activity relationships (3d qsiar) from seal similarity matrices H Kubinyi, FA Hamprecht, T Mietzner Journal of medicinal chemistry 41 (14), 2553-2564, 1998	285	1998
On oblique random forests BH Menze, BM Kelm, DN Splitthoff, U Koethe, FA Hamprecht Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011	283	2011
Essentially no barriers in neural network energy landscape F Draxler, K Veschgini, M Salmhofer, F Hamprecht International conference on machine learning, 1309-1318, 2018	250	2018
Multi-modal brain tumor segmentation using deep convolutional neural networks G Urban, M Bendszus, F Hamprecht, J Kleesiek MICCAI BraTS (brain tumor segmentation) challenge. Proceedings, winning …, 2014	243	2014
Learning to count with regression forest and structured labels L Fiaschi, U Köthe, R Nair, FA Hamprecht Proceedings of the 21st International Conference on Pattern Recognition …, 2012	235	2012
Robust prediction of the MASCOT score for an improved quality assessment in mass spectrometric proteomics T Koenig, BH Menze, M Kirchner, F Monigatti, KC Parker, T Patterson, ... Journal of proteome research 7 (9), 3708-3717, 2008	227	2008
A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115 (2), 155-184, 2015	221	2015
A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013	211	2013
Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy M Pfannmöller, H Flugge, G Benner, I Wacker, C Sommer, ... Nano letters 11 (8), 3099-3107, 2011	203	2011
Imagining the future of bioimage analysis E Meijering, AE Carpenter, H Peng, FA Hamprecht, JC Olivo-Marin Nature biotechnology 34 (12), 1250-1255, 2016	160	2016
Automated detection and segmentation of synaptic contacts in nearly isotropic serial electron microscopy images A Kreshuk, CN Straehle, C Sommer, U Koethe, M Cantoni, G Knott, ... PloS one 6 (10), e24899, 2011	153	2011
Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras M Frank, M Plaue, H Rapp, U Köthe, B Jähne, FA Hamprecht Optical Engineering 48 (1), 013602-013602-16, 2009	136	2009
Segmentation of SBFSEM volume data of neural tissue by hierarchical classification B Andres, U Köthe, M Helmstaedter, W Denk, FA Hamprecht Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008 …, 2008	133	2008

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