Automated Author Profile

Stathaki, Tania

Imperial College London

Current S-Index

1.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

71.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

GAGL Dataset (Version: v.01)

GAstric GLands (GAGL) dataset. - v.1 GAGL 'minimal dataset' (a part of GAGL dataset) consists of 9 downsampled WSI including 3 normal, 3 gastric atrophic and 3 intestinal metaplasia cases. The minimal dataset could be used for the validation of the study findings of the following study: A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases. GAGL dataset consists of 85 WSI, collected from 20 patients. Gastric tissues were collected at University College London Hospital NHS trust, with ethical approval (research ethics committee (REC) reference: 15/YH/0311, & 19/LO/0089), with informed consent taken for prospective tissue collection. Samples were collected prospectively from patients undergoing gastrectomy for cancer, or sleeve gastrectomy for weight loss, with archival tissue used from endoscopic surveillance biopsies. Tissue underwent routine Hematoxylin & Eosin (H&E) staining. More specifically, the dataset includes 14 normal, 26 GA and 45 IM images. Please cite as: To be confirmed.

Authors

  • Barmpoutis, Panagiotis ;
  • Waddingham, William ;
  • Yuan, Jing ;
  • Ross, Christopher ;
  • Kayhanian Hamzeh ;
  • Stathaki, Tania ;
  • Alexander, Daniel C. ;
  • Jansen, Marnix
0 Citations0 Mentions77% FAIR0.5 Dataset Index
10.5281/zenodo.70320672022

GAGL Dataset (Version: v.01)

GAstric GLands (GAGL) dataset. - v.1 GAGL 'minimal dataset' (a part of GAGL dataset) consists of 9 downsampled WSI including 3 normal, 3 gastric atrophic and 3 intestinal metaplasia cases. The minimal dataset could be used for the validation of the study findings of the following study: A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases. GAGL dataset consists of 85 WSI, collected from 20 patients. Gastric tissues were collected at University College London Hospital NHS trust, with ethical approval (research ethics committee (REC) reference: 15/YH/0311, & 19/LO/0089), with informed consent taken for prospective tissue collection. Samples were collected prospectively from patients undergoing gastrectomy for cancer, or sleeve gastrectomy for weight loss, with archival tissue used from endoscopic surveillance biopsies. Tissue underwent routine Hematoxylin & Eosin (H&E) staining. More specifically, the dataset includes 14 normal, 26 GA and 45 IM images. Please cite as: To be confirmed.

Authors

  • Barmpoutis, Panagiotis ;
  • Waddingham, William ;
  • Yuan, Jing ;
  • Ross, Christopher ;
  • Kayhanian Hamzeh ;
  • Stathaki, Tania ;
  • Alexander, Daniel C. ;
  • Jansen, Marnix
0 Citations0 Mentions77% FAIR0.5 Dataset Index
10.5281/zenodo.70320662022

IMGL Dataset (Version: 1)

The IMGL (Intestinal Metaplasia gastric GLands) dataset includes 500 normal and 500 gastric glands with intestinal metaplasia. Gastric tissues were collected at University College London Hospital NHS trust, with ethical approval with informed consent taken for prospective tissue collection. The tissues underwent routine H&E staining. Please cite as: Barmpoutis P, Yuan J, Waddingham W, Ross C, Kayhanian H, Stathaki T, Alexander DC, Jansen M (2022). Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset. Cancer Prevention through early detecTion Workshop, MICCAI 2022, September 22, 2022.

Authors

  • Barmpoutis, Panagiotis ;
  • Yuan, Jing ;
  • Waddingham, William ;
  • Ross, Christopher ;
  • Kayhanian Hamzeh ;
  • Stathaki, Tania ;
  • Alexander, Daniel C. ;
  • Jansen, Marnix
0 Citations0 Mentions54% FAIR0.2 Dataset Index
10.5281/zenodo.69081332022

IMGL Dataset (Version: 1)

The IMGL (Intestinal Metaplasia gastric GLands) dataset includes 500 normal and 500 gastric glands with intestinal metaplasia. Gastric tissues were collected at University College London Hospital NHS trust, with ethical approval with informed consent taken for prospective tissue collection. The tissues underwent routine H&E staining. Please cite as: Barmpoutis P, Yuan J, Waddingham W, Ross C, Kayhanian H, Stathaki T, Alexander DC, Jansen M (2022). Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset. Cancer Prevention through early detecTion Workshop, MICCAI 2022, September 22, 2022.

Authors

  • Barmpoutis, Panagiotis ;
  • Yuan, Jing ;
  • Waddingham, William ;
  • Ross, Christopher ;
  • Kayhanian Hamzeh ;
  • Stathaki, Tania ;
  • Alexander, Daniel C. ;
  • Jansen, Marnix
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.69081322022