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1 . Academic Journal
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
저자
by
Ehteshami Bejnordi, Babak
;
Mullooly, Maeve
;
Pfeiffer, Ruth M.
;
Fan, Shaoqi
;
Vacek, Pamela M.
, et al.
소스
In
Modern Pathology
January 2018 31(10):1502-1512
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7 . Conference
FrameExit: Conditional Early Exiting for Efficient Video Recognition
저자
by
Ghodrati, Amir
;
Ehteshami Bejnordi, Babak
;
Habibian, Amirhossein
.
소스
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) CVPR Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF Conference on. :15603-15613 Jun, 2021
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5 . Conference
Skip-Convolutions for Efficient Video Processing
저자
by
Habibian, Amirhossein
;
Abati, Davide
;
Cohen, Taco S.
;
Ehteshami Bejnordi, Babak
.
소스
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) CVPR Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF Conference on. :2694-2703 Jun, 2021
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6 . Conference
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images
저자
by
Ehteshami Bejnordi, Babak
;
Lin, Jimmy
;
Glass, Ben
;
Mullooly, Maeve
;
Gierach, Gretchen L
, et al.
소스
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on. :929-932 Apr, 2017
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7 . Conference
Automated segmentation of free-lying cell nuclei in Pap smears for malignancy-associated change analysis
저자
by
Moshavegh, Ramin
;
Ehteshami Bejnordi, Babak
;
Mehnert, Andrew
;
Sujathan, K.
;
Malm, Patrik
, et al.
소스
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. :5372-5375 Aug, 2012
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7 . Academic Journal
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer.
저자
by
Geessink, Oscar G. F.
;
Baidoshvili, Alexi
;
Klaase, Joost M.
;
Ehteshami Bejnordi, Babak
;
Litjens, Geert J. S.
, et al.
소스
Cellular Oncology (2211-3428)
. Jun2019, Vol. 42 Issue 3, p331-341. 11p.
Scopus
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7 . Academic Journal
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.
저자
by
Bandi, Peter
;
Geessink, Oscar
;
Manson, Quirine
;
Van Dijk, Marcory
;
Balkenhol, Maschenka
, et al.
소스
IEEE Transactions on Medical Imaging
. Feb2019, Vol. 38 Issue 2, p550-560. 11p.
Full Text (IEEE)
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7 . Academic Journal
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
저자
by
Bejnordi, Babak Ehteshami
;
Veta, Mitko
;
van Diest, Paul Johannes
;
van Ginneken, Bram
;
Karssemeijer, Nico
, et al.
소스
JAMA: Journal of the American Medical Association
. 12/12/2017, Vol. 318 Issue 22, p2199-2210. 12p. 1 Color Photograph, 2 Charts, 2 Graphs.
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7 . Academic Journal
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
저자
by
Ehteshami Bejnordi, Babak
;
Veta, Mitko
;
Johannes van Diest, Paul
;
van Ginneken, Bram
;
Karssemeijer, Nico
, et al.
소스
JAMA
. Dec 12, 2017 318(22):2199-2210
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7 . Academic Journal
3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging.
저자
by
Mertzanidou, Thomy
;
Hipwell, John H.
;
Reis, Sara
;
Hawkes, David J.
;
Ehteshami Bejnordi, Babak
, et al.
소스
Medical Physics
. Mar2017, Vol. 44 Issue 3, p935-948. 14p.
Scopus
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