Search Results for author: Jevgenij Gamper

Found 9 papers, 3 papers with code

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

1 code implementation CVPR 2021 Jevgenij Gamper, Nasir Rajpoot

We present ARCH, a computational pathology (CP) multiple instance captioning dataset to facilitate dense supervision of CP tasks.

Image Captioning Multi-Task Learning

Predicting Landsat Reflectance with Deep Generative Fusion

1 code implementation9 Nov 2020 Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard, Jevgenij Gamper

Public satellite missions are commonly bound to a trade-off between spatial and temporal resolution as no single sensor provides fine-grained acquisitions with frequent coverage.

Time Series

Exoplanet Validation with Machine Learning: 50 new validated Kepler planets

no code implementations24 Aug 2020 David J. Armstrong, Jevgenij Gamper, Theodoros Damoulas

Over 30% of the ~4000 known exoplanets to date have been discovered using 'validation', where the statistical likelihood of a transit arising from a false positive (FP), non-planetary scenario is calculated.

PanNuke Dataset Extension, Insights and Baselines

4 code implementations24 Mar 2020 Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir Rajpoot

The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in whole-slide images (WSIs) of cancerous tissue slides.

Selection bias whole slide images

AI Ethics for Systemic Issues: A Structural Approach

no code implementations8 Nov 2019 Agnes Schim van der Loeff, Iggy Bassi, Sachin Kapila, Jevgenij Gamper

The debate on AI ethics largely focuses on technical improvements and stronger regulation to prevent accidents or misuse of AI, with solutions relying on holding individual actors accountable for responsible AI development.

Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent Deep Generative Models

no code implementations31 Oct 2019 Michael Zotov, Jevgenij Gamper

The potential of using remote sensing imagery for environmental modelling and for providing real time support to humanitarian operations such as hurricane relief efforts is well established.

Denoising

MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images

no code implementations5 Jun 2018 Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David Snead, Yee Wah Tsang, Nasir Rajpoot

However, this task is non-trivial due to the large variability in glandular appearance and the difficulty in differentiating between certain glandular and non-glandular histological structures.

Colorectal Gland Segmentation: Decision Making +3

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