Humayun Irshad

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	Vse	Od leta 2020
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Soavtorji

Andrew H. BeckCo-Founder and CEO at PathAIPreverjeni e-poštni naslov na PathAI.com
Daniel RACOCEANUSorbonne University, Paris Brain Institute (ICM), Inria team "Aramis"Preverjeni e-poštni naslov na sorbonne-universite.fr
Ludovic RouxIPAL Lab, University Joseph Fourier, Grenoble 1Preverjeni e-poštni naslov na ipal.cnrs.fr
Octavian BucurHarvard Medical School & Beth Israel Deaconess Medical CenterPreverjeni e-poštni naslov na bidmc.harvard.edu
Aditya KhoslaCTO, Iterative HealthPreverjeni e-poštni naslov na iterative.health
Dayong WangMeta Inc.Preverjeni e-poštni naslov na meta.com
Nicholas KnoblauchCommittee on Genetics, Genomics & Systems Biology, University of ChicagoPreverjeni e-poštni naslov na uchicago.edu
Laleh Montaser Kouhsari, MDDepartment of Pathology, Harvard Medical SchoolPreverjeni e-poštni naslov na bidmc.harvard.edu
Ed BoydenMIT, HHMIPreverjeni e-poštni naslov na mit.edu
nicolas lomenieProfessor of Computer Science, Université Paris CitéPreverjeni e-poštni naslov na u-paris.fr
Antoine VeillardPreverjeni e-poštni naslov na polytechnique.org
Hammad MajeedNational University of Computer and Emerging SciencesPreverjeni e-poštni naslov na nu.edu.pk
Alexandre GOUAILLARDCoSMo SoftwarePreverjeni e-poštni naslov na cosmosoftware.io
Ben GlassPathAIPreverjeni e-poštni naslov na pathai.com
Dr Sepehr JalaliDeep Learning ScientistPreverjeni e-poštni naslov na ucl.ac.uk
Joo Hwee LimHead, Visual Intelligence Dept, I2R, A*STARPreverjeni e-poštni naslov na i2r.a-star.edu.sg
Muhammad KamranCollege of Computer Science and Engineering, University of Jeddah, KSA.Preverjeni e-poštni naslov na uj.edu.sa
Daniel SchmolzeCity of Hope Comprehensive Cancer CenterPreverjeni e-poštni naslov na coh.org
Metin N. GurcanDirector, Center for Artificial Intelligence Research, Wake Forest University School of MedicinePreverjeni e-poštni naslov na wakehealth.edu
Muddassar FarooqProfessor & Dean, Air UniversityPreverjeni e-poštni naslov na ieee.org

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Humayun Irshad

Lead AI Researcher

Preverjeni e-poštni naslov na mesmerhq.com - Domača stran

Machine Learning Deep Learning Computer Vision Medical Image Analysis Computer Aided Diagnosis


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	3365	2017
Deep learning for identifying metastatic breast cancer D Wang, A Khosla, R Gargeya, H Irshad, AH Beck arXiv preprint arXiv:1606.05718, 2016	1315	2016
Methods for Nuclei Detection, Segmentation and Classification in Digital Histopathology: A Review. Current Status and Future Potential H Irshad, A Veillard, L Roux, D Racoceanu IEEE Review on BioMedical Engineering 7 (1), 97--114, 2014	816	2014
Mitosis Detection in Breast Cancer Histological Images L Roux, D Racoceanu, N Loménie, M Kulikova, H Irshad, J Klossa, ... Journal of Pathology Informatics 4 (1), 8, 2013	372*	2013
Image segmentation using fuzzy clustering: A survey S Naz, H Majeed, H Irshad 2010 6th international conference on emerging technologies (ICET), 181-186, 2010	313	2010
Nanoscale imaging of clinical specimens using pathology-optimized expansion microscopy Y Zhao, O Bucur, H Irshad, F Chen, A Weins, AL Stancu, EY Oh, ... Nature biotechnology 35 (8), 757-764, 2017	238	2017
Automated Mitosis Detection in Histopathology using Morphological and Multi-Channel Statistics Features H Irshad Journal of Pathology Informatics 5 (13), 6, 2013	191	2013
Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowd H Irshad, L Montaser-Kouhsari, G Waltz, O Bucur, JA Nowak, F Dong, ... Pacific symposium on biocomputing Co-chairs, 294-305, 2014	168	2014
Computational pathology to discriminate benign from malignant intraductal proliferations of the breast F Dong, H Irshad, EY Oh, MF Lerwill, EF Brachtel, NC Jones, ... PloS one 9 (12), e114885, 2014	145	2014
Automated Mitosis Detection Using Texture, SIFT Features and HMAX Biologically Inspired Approach H Irshad, S Jalali, L Roux, D Racoceanu, LJ Hwee, G Le Naour, F Capron Journal of Pathology Informatics 4 (12), 7, 2013	116	2013
Deep learning for identifying metastatic breast cancer. arXiv 2016 D Wang, A Khosla, R Gargeya, H Irshad, AH Beck, B Israel arXiv preprint arXiv:1606.05718, 0	74
Automated Clear Cell Renal Carcinoma Grade Classification with Prognostic Significance K Tian, CA Rubadue, DI Lin, M Veta, ME Pyle, H Irshad, YJ Heng PLoS One 14 ((10)), 661520, 2019	50	2019
Multispectral Band Selection and Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology H Irshad, A Gouaillard, L Roux, D Racoceanu Computerized Medical Imaging and Graphics (CMIG) 38 (5), 390--402, 2014	47	2014
Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method H Irshad, EY Oh, D Schmolze, M Quintana, Liza, L Collins, RM Tamimi, ... Scientific Reports 7, 43286, 2017	43	2017
Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology H Irshad, L Roux, D Racoceanu 2013 35th Annual International Conference of the IEEE Engineering in …, 2013	34	2013
Image fusion using computational intelligence: A survey H Irshad, M Kamran, AB Siddiqui, A Hussain 2009 Second International Conference on Environmental and Computer Science …, 2009	29	2009
Assisted image annotation H Irshad, SQ Mirsharif, K Vajapey, C Monchu, C Xiao, R Munro US Patent 11,176,415, 2021	28	2021
Spectral Band Selection For Mitosis Detection in Histopathology H Irshad, A Gouaillard, L Roux, D Racoceanu 11th IEEE International Symposium on Biomedical Imaging (ISBI), 2014	18	2014
Diagnostic assessment of deep learning algorithms for detection and segmentation of lesion in mammographic images T Boot, H Irshad International conference on medical image computing and computer-assisted …, 2020	16	2020
Video object tracking K Vajapey, R Munro, JR Cloughley, MA Gordon, H Irshad, C Monchu, ... US Patent 10,489,918, 2019	14	2019

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