Babak Ehteshami Bejnordi

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Jeroen van der LaakRadboud University Medical CenterPreverjeni e-poštni naslov na radboudumc.nl
Geert LitjensRadboud University Medical CenterPreverjeni e-poštni naslov na radboudumc.nl
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityPreverjeni e-poštni naslov na radboudumc.nl
Mohsen GhafoorianSr. Staff Computer Vision R&D, QualcommPreverjeni e-poštni naslov na qti.qualcomm.com
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenPreverjeni e-poštni naslov na radboudumc.nl
Tijmen BlankevoortMeta - GenAI Llama Foundation ModelsPreverjeni e-poštni naslov na qti.qualcomm.com
Amir HabibianResearch Scientist, Qualcomm AI ResearchPreverjeni e-poštni naslov na qti.qualcomm.com
Andrew H. BeckCo-Founder and CEO at PathAIPreverjeni e-poštni naslov na PathAI.com
Jakub M. TomczakChan Zuckerberg InitiativePreverjeni e-poštni naslov na chanzuckerberg.com
Amélie RoyerStaff Engineer, Qualcomm AI Research NetherlandsPreverjeni e-poštni naslov na ist.ac.at
Amir GhodratiQualcomm AI Research NetherlandsPreverjeni e-poštni naslov na qti.qualcomm.com
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamPreverjeni e-poštni naslov na uva.nl
Taco CohenQualcomm AI ResearchPreverjeni e-poštni naslov na qti.qualcomm.com
Andrew MehnertLions Eye InstitutePreverjeni e-poštni naslov na lei.org.au
Fatih PorikliQualcomm, Australian National UniversityPreverjeni e-poštni naslov na anu.edu.au
Mahdi S. HosseiniAssistant Professor, Concordia University and Mila Quebec AI InstitutePreverjeni e-poštni naslov na concordia.ca
Jonas TeuwenNetherlands Cancer Institute / Radboud University Medical CenterPreverjeni e-poštni naslov na nki.nl
Ilia KarmanovNvidiaPreverjeni e-poštni naslov na nvidia.com
Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgPreverjeni e-poštni naslov na uni-wuerzburg.de
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEPreverjeni e-poštni naslov na insait.ai

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Babak Ehteshami Bejnordi

Sr. Staff Research Scientist, Qualcomm AI Research

Preverjeni e-poštni naslov na qti.qualcomm.com - Domača stran

Efficient AI LLM Computer Vision Machine Learning Medical Imaging


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88, 2017	14173	2017
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017	3391	2017
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ... IEEE transactions on medical imaging 38 (2), 550-560, 2018	645	2018
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset G Litjens, P Bandi, B Ehteshami Bejnordi, O Geessink, M Balkenhol, ... GigaScience 7 (6), giy065, 2018	430	2018
Stain specific standardization of whole-slide histopathological images BE Bejnordi, G Litjens, N Timofeeva, I Otte-Höller, A Homeyer, ... IEEE transactions on medical imaging 35 (2), 404-415, 2015	331	2015
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019	325	2019
Conditional channel gated networks for task-aware continual learning D Abati, J Tomczak, T Blankevoort, S Calderara, R Cucchiara, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	252	2020
The importance of stain normalization in colorectal tissue classification with convolutional networks F Ciompi, O Geessink, BE Bejnordi, GS De Souza, A Baidoshvili, G Litjens, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017	245	2017
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images BE Bejnordi, G Zuidhof, M Balkenhol, M Hermsen, P Bult, B van Ginneken, ... Journal of Medical Imaging 4 (4), 044504-044504, 2017	227	2017
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies B Ehteshami Bejnordi, M Mullooly, RM Pfeiffer, S Fan, PM Vacek, ... Modern Pathology 31 (10), 1502-1512, 2018	218	2018
Stain normalization of histopathology images using generative adversarial networks FG Zanjani, S Zinger, BE Bejnordi, JAWM van der Laak, PHN de With 2018 IEEE 15th International symposium on biomedical imaging (ISBI 2018 …, 2018	155	2018
Automated detection of DCIS in whole-slide H&E stained breast histopathology images BE Bejnordi, M Balkenhol, G Litjens, R Holland, P Bult, N Karssemeijer, ... IEEE transactions on medical imaging 35 (9), 2141-2150, 2016	117	2016
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer OGF Geessink, A Baidoshvili, JM Klaase, B Ehteshami Bejnordi, ... Cellular oncology 42, 331-341, 2019	108	2019
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images BE Bejnordi, J Lin, B Glass, M Mullooly, GL Gierach, ME Sherman, ... 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017	102	2017
Frameexit: Conditional early exiting for efficient video recognition A Ghodrati, BE Bejnordi, A Habibian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	100	2021
Batch-Shaping for Learning Conditional Channel Gated Networks B Ehteshami Bejnordi, T Blankevoort, M Welling Proceedings of the eights International Conference on Learning …, 2020	91*	2020
A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images BE Bejnordi, G Litjens, M Hermsen, N Karssemeijer, JAWM van der Laak Medical Imaging 2015: Digital Pathology 9420, 99-104, 2015	64	2015
Skip-convolutions for efficient video processing A Habibian, D Abati, TS Cohen, BE Bejnordi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	61	2021
Histopathology stain-color normalization using deep generative models FG Zanjani, S Zinger, BE Bejnordi, JAWM van der Laak 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), 1-11, 2018	56	2018
Quantitative analysis of stain variability in histology slides and an algorithm for standardization BE Bejnordi, N Timofeeva, I Otte-Höller, N Karssemeijer, ... Medical imaging 2014: digital pathology 9041, 45-51, 2014	56	2014

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