Bernhard Kainz

Alıntı yapanlar

	Hepsi	2019 yılından bugüne
Alıntılar	21571	19950
h-endeksi	54	49
i10-endeksi	132	119

6000

3000

1500

4500

2011201220132014201520162017201820192020202120222023202455 63 85 104 146 161 202 458 1030 1825 2871 3816 5009 5333

Genel erişim

Tümünü görüntüle

118 makale

9 makale

genel erişime açık olanlar

genel erişime açık olmayanlar

Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Daniel RueckertTechnical University of Munich and Imperial College Londontum.de üzerinde doğrulanmış e-posta adresine sahip
Ben GlockerImperial College Londonimperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Ozan Oktaylmperial College Londonic.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Jo HajnalProfessor of Imaging Science, Kings College Londonkcl.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Matthew Chung Hai LeeImperial College Londonimperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Steven McDonaghSenior Lecturer, University of Edinburghed.ac.uk üzerinde doğrulanmış e-posta adresine sahip
mary rutherfordKings College Londonkcl.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Amir AlansaryResearch Associate, Biomedical Image Analysis Group (BioMedIA), Imperial College Londonimperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Dieter SchmalstiegAlexander von Humboldt Professor of Visual Computing, University of Stuttgartvisus.uni-stuttgart.de üzerinde doğrulanmış e-posta adresine sahip
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of Oxfordeng.ox.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Martin RajchlResearch Fellow, Dept. of Computing, Imperial College Londonimperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Markus SteinbergerAssociate Professor, Graz University of Technology, Austriaicg.tugraz.at üzerinde doğrulanmış e-posta adresine sahip
Maria Kuklisova Murgasova DeprezKing's College Londonkcl.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Christina MalamateniouAssociate Professor in Radiographycity.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Kevin KeraudrenApplied Scientist at Onfidoonfido.com üzerinde doğrulanmış e-posta adresine sahip
Christian F. BaumgartnerUniversity of Tübingen & University of Lucerneuni-tuebingen.de üzerinde doğrulanmış e-posta adresine sahip
Stefan HauswiesnerResearch and Teaching Assistant, Graz University of Technologyicg.tugraz.at üzerinde doğrulanmış e-posta adresine sahip
Philip VoglreiterPostDoc Graz University of Technologyicg.tugraz.at üzerinde doğrulanmış e-posta adresine sahip
Michael KenzelGerman Research Center for Artificial Intelligenceicg.tugraz.at üzerinde doğrulanmış e-posta adresine sahip
Denis KalkofenAssociate Professor Graz University of Technologyicg.tugraz.at üzerinde doğrulanmış e-posta adresine sahip

Takip et

Bernhard Kainz

Imperial College London, FAU Erlangen-Nürnberg

imperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

human-in-the-loop computing machine learning medical image analysis


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Attention u-net: Learning where to look for the pancreas O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 2018	6802	2018
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018	2073	2018
Attention gated networks: Learning to leverage salient regions in medical images J Schlemper, O Oktay, M Schaap, M Heinrich, B Kainz, B Glocker, ... Medical image analysis 53, 197-207, 2019	1649	2019
Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ... IEEE transactions on medical imaging 37 (2), 384-395, 2017	829	2017
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... Journal of cardiovascular magnetic resonance 20 (1), 65, 2018	720	2018
Ensembles of multiple models and architectures for robust brain tumour segmentation K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018	586	2018
A survey on active learning and human-in-the-loop deep learning for medical image analysis S Budd, EC Robinson, B Kainz Medical image analysis 71, 102062, 2021	573	2021
Deepcut: Object segmentation from bounding box annotations using convolutional neural networks M Rajchl, MCH Lee, O Oktay, K Kamnitsas, J Passerat-Palmbach, W Bai, ... IEEE transactions on medical imaging 36 (2), 674-683, 2016	481	2016
Attention u-net: Learning where to look for the pancreas. arXiv O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999 10, 2018	408	2018
SonoNet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound CF Baumgartner, K Kamnitsas, J Matthew, TP Fletcher, S Smith, LM Koch, ... IEEE transactions on medical imaging 36 (11), 2204-2215, 2017	380	2017
Magnetic resonance–derived 3-dimensional blood flow patterns in the main pulmonary artery as a marker of pulmonary hypertension and a measure of elevated mean pulmonary … G Reiter, U Reiter, G Kovacs, B Kainz, K Schmidt, R Maier, H Olschewski, ... Circulation: Cardiovascular Imaging 1 (1), 23-30, 2008	268	2008
Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024	258*	2024
Attention u-net: learning where to look for the pancreas (2018) O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 1804	246	1804
Fast volume reconstruction from motion corrupted stacks of 2D slices B Kainz, M Steinberger, W Wein, M Kuklisova-Murgasova, ... IEEE transactions on medical imaging 34 (9), 1901-1913, 2015	208	2015
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study Q Dou, TY So, M Jiang, Q Liu, V Vardhanabhuti, G Kaissis, Z Li, W Si, ... NPJ digital medicine 4 (1), 60, 2021	207	2021
Evaluating reinforcement learning agents for anatomical landmark detection A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ... Medical image analysis 53, 156-164, 2019	201	2019
Intra‐and interobserver variability in fetal ultrasound measurements I Sarris, C Ioannou, P Chamberlain, E Ohuma, F Roseman, L Hoch, ... Ultrasound in obstetrics & gynecology 39 (3), 266-273, 2012	199	2012
Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021	186	2021
Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study DFA Lloyd, K Pushparajah, JM Simpson, JFP Van Amerom, ... The Lancet 393 (10181), 1619-1627, 2019	152	2019
Natural synthetic anomalies for self-supervised anomaly detection and localization HM Schlüter, J Tan, B Hou, B Kainz European Conference on Computer Vision, 474-489, 2022	144	2022

Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.

Makaleler 1–20

Yıllık alıntı sayısı

Mükerrer alıntılar

Birleştirilmiş alıntılar

Katkıda bulunan yazar ekleKatkıda bulunan yazarlar

Takip et

Alıntı yapanlar

Katkıda bulunan yazarlar