E-LIB Suche - Ergebnisse für: Sobhani, Faranak

1

Longitudinal Assessment of Tumor-Infiltrating Lymphocytes i..:

Yoneyama, Miki ; Zormpas-Petridis, Konstantinos ; Robinson, Ruth...
International Journal of Radiation Oncology*Biology*Physics. , 2024

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

2

Self-supervised deep learning for highly efficient spatial ..:

Zhang, Hanyun ; AbdulJabbar, Khalid ; Grunewald, Tami...
eBioMedicine. 95 (2023) - p. 104769 , 2023

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

3

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating L..:

, In: Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery; Lecture Notes in Computer Science,

Hagos, Yeman Brhane ; Sobhani, Faranak ; Castillo, Simon P.... - p. 164-175 , 2022

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

4

Automated Dcis Identification From Multiplex Immunohistoche..:

, In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI),

Sobhani, Faranak ; Hamidinekoo, Azam ; Hall, Allison H.... - p. 1-5 , 2022

Link: https://doi.org/10.1109/..

5

Spatial interplay of tissue hypoxia and T-cell regulation i..:

Sobhani, Faranak ; Muralidhar, Sathya ; Hamidinekoo, Azam...
npj Breast Cancer. 8 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

6

Artificial intelligence and digital pathology: Opportunitie..:

Sobhani, Faranak ; Robinson, Ruth ; Hamidinekoo, Azam...
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1875 (2021) 2 - p. 188520 , 2021

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

7

Self-supervised deep learning for highly efficient spatial ..:

Zhang, Hanyun ; AbdulJabbar, Khalid ; Grunewald, Tami...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493897/. , 2023

Link: http://www.ncbi.nlm.nih...

8

Artificial intelligence and digital pathology: Opportunitie..:

Sobhani, Faranak ; Robinson, Ruth ; Hamidinekoo, Azam...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062980/. , 2021

Link: http://www.ncbi.nlm.nih...

9

US-net for robust and efficient nuclei instance segmentatio:

Xu, Zhaoyang ; Sobhani, Faranak ; Moro, Carlos Fernandez.
http://arxiv.org/abs/1902.00125. , 2019

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

10

Towards a Forensic Event Ontology to Assist Video Surveilla..:

Sobhani, Faranak ; Straccia, Umberto
http://arxiv.org/abs/1903.09012. , 2019

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

11

Self-supervised deep learning for highly efficient spatial ..:

Hanyun Zhang ; Khalid AbdulJabbar ; Tami Grunewald...
http://www.sciencedirect.com/science/article/pii/S2352396423003353. , 2023

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

12

Spatial interplay of tissue hypoxia and T-cell regulation i..:

Faranak Sobhani ; Sathya Muralidhar ; Azam Hamidinekoo...
https://doi.org/10.1038/s41523-022-00419-9. , 2022

Link: https://doi.org/10.1038/..

13

Formal representation of events in a surveillance domain on..:

Faranak Sobhani
info:eu-repo/grantAgreement/EC/FP7/607480/. , 2016

Link: https://zenodo.org/recor..

14

An ontology framework for automated visual surveillance sys..:

Faranak Sobhani
info:eu-repo/grantAgreement/EC/FP7/607480/. , 2015

Link: https://zenodo.org/recor..

15

Analysis of killer cell immunoglobulin-like receptors (KIRs..:

Mahmoudi, Mahdi ; Fallahian, Faranak ; Sobhani, Soheila...
Clinical Rheumatology. 36 (2017) 4 - p. 853-862 , 2017

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