E-LIB Suche - Ergebnisse für: Phoulady, Hady Ahmady

1

LNDb challenge on automatic lung cancer patient management:

Pedrosa, João ; Aresta, Guilherme ; Ferreira, Carlos...
Medical Image Analysis. 70 (2021) - p. 102027 , 2021

Link: https://doi.org/10.1016/..

2

Automatic Lung Cancer Follow-Up Recommendation with 3D Deep..:

, In: Lecture Notes in Computer Science; Image Analysis and Recognition,

Atwal, Gurraj ; Phoulady, Hady Ahmady - p. 406-418 , 2020

Link: https://doi.org/10.1007/..

3

Predicting breast tumor proliferation from whole-slide imag..:

Veta, Mitko ; Heng, Yujing J. ; Stathonikos, Nikolas...
Medical Image Analysis. 54 (2019) - p. 111-121 , 2019

Link: https://doi.org/10.1016/..

4

Automated Cell Counts on Tissue Sections by Deep Learning a..:

Alahmari, Saeed S. ; Goldgof, Dmitry ; Hall, Lawrence...
Journal of Chemical Neuroanatomy. 96 (2019) - p. 94-101 , 2019

Link: https://doi.org/10.1016/..

5

A framework for nucleus and overlapping cytoplasm segmentat..:

Phoulady, Hady Ahmady ; Goldgof, Dmitry ; Hall, Lawrence O..
Computerized Medical Imaging and Graphics. 59 (2017) - p. 38-49 , 2017

Link: https://doi.org/10.1016/..

6

Unbiased estimation of cell number using the automatic opti..:

Mouton, Peter R. ; Phoulady, Hady Ahmady ; Goldgof, Dmitry...
Journal of Chemical Neuroanatomy. 80 (2017) - p. A1-A8 , 2017

Link: https://doi.org/10.1016/..

7

Automatic stereology of mean nuclear size of neurons using ..:

Ahmady Phoulady, Hady ; Goldgof, Dmitry ; Hall, Lawrence O...
Journal of Chemical Neuroanatomy. 96 (2019) - p. 110-115 , 2019

Link: https://doi.org/10.1016/..

8

A novel image segmentation method for the evaluation of inf..:

Mottahedin, Amin ; Zhang, Xiaoli ; Zelco, Aura...
Journal of Chemical Neuroanatomy. 96 (2019) - p. 79-85 , 2019

Link: https://doi.org/10.1016/..

9

Automatic ground truth for deep learning stereology of immu..:

Ahmady Phoulady, Hady ; Goldgof, Dmitry ; Hall, Lawrence O..
Journal of Chemical Neuroanatomy. 98 (2019) - p. 1-7 , 2019

Link: https://doi.org/10.1016/..

10

Iterative Deep Learning Based Unbiased Stereology With Huma..:

Alahmari, Saeed S ; Goldgof, Dmitry ; Hall, Lawrence O...
http://arxiv.org/abs/1901.04355. , 2019

Link: http://arxiv.org/abs/190..

11

Predicting breast tumor proliferation from whole-slide imag..:

Veta, Mitko ; Heng, Yujing J ; Stathonikos, Nikolas...
Veta , M , Heng , Y J , Stathonikos , N , Bejnordi , B E , Beca , F , Wollmann , T , Rohr , K , Shah , M A , Wang , D , Rousson , M , Hedlund , M , Tellez , D , Ciompi , F , Zerhouni , E , Lanyi , D , Viana , M , Kovalev , V , Liauchuk , V , Phoulady , H A , Qaiser , T , Graham , S , Rajpoot , N , Sjöblom , E , Molin , J , Paeng , K , Hwang , S , Park , S , Jia , Z , Chang , E I-C , Xu , Y , Beck , A H , van Diest , P J & Pluim , J P W 2019 , ' Predicting breast tumor proliferation from whole-slide images : The TUPAC16 challenge ' , Medical Image Analysis , vol. 54 , pp. 111-121 . https://doi.org/10.1016/j.media.2019.02.012. , 2019

Link: https://research.tue.nl/..

12

The Weighted Tsetlin Machine: Compressed Representations wi..:

Phoulady, Adrian ; Granmo, Ole-Christoffer ; Gorji, Saeed Rahimi.
http://arxiv.org/abs/1911.12607. , 2019

Link: http://arxiv.org/abs/191..

13

Predicting breast tumor proliferation from whole-slide imag..:

Veta, M Mitko ; Heng, Yujing J ; Stathonikos, Nikolas...
ISSN:1361-8415. , 2019

Link: http://repository.tue.nl..

14

Predicting breast tumor proliferation from whole-slide imag..:

Veta, Mitko ; Heng, Yujing J ; Stathonikos, Nikolas...
http://arxiv.org/abs/1807.08284. , 2018

Link: http://arxiv.org/abs/180..

15

A New Cervical Cytology Dataset for Nucleus Detection and I..:

Phoulady, Hady Ahmady ; Mouton, Peter R
http://arxiv.org/abs/1811.09651. , 2018

Link: http://arxiv.org/abs/181..