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(2024-12-12)
Advent of code 2024
(2024-06-17)
Brain metaphors
(2024-06-15)
SciSpace: a quick story
(2024-02-09)
ChatGPT on evaluation metrics
(2023-10-06)
Retrieving TCGA slides with Python and the GDC API
(2023-10-03)
Javascript's weird typecasting rules
(2023-09-25)
[Preprint] Finding the best channel for tissue segmentation in whole-slide images
(2023-07-10)
Authors suing OpenAI
(2023-04-14)
[Publication] Evaluating participating methods in image analysis challenges: lessons from MoNuSAC 2020
(2023-04-13)
Misusing Hausdorff's Distance
(2023-03-08)
[Opinion] Bing AI: has Microsoft lost its mind?
(2023-01-24)
[Devlog] Getting oriented in anatomical space
(2023-01-07)
Can ChatGPT write an academic paper?
(2022-12-29)
[Opinion] ChatGPT vs Wolfram Alpha
(2022-12-14)
[Publication] Review of digital pathology segmentation challenges
(2022-12-06)
[Devlog] Supervoxel CT liver segmentation
(2022-11-28)
[Preprint] Panoptic Quality : not always a good metric
(2022-11-24)
[Reading] Top ACROBATs - pathology registration
(2022-11-19)
[Opinion] The Galactica debacle
(2022-11-16)
[Devlog] Coordinates and scale
(2022-11-10)
[Reading] Reviews of medical image registration
(2022-11-07)
A new project
(2022-10-19)
The thesis
(2022-10-04)
Is AI on the wrong path?
(2022-04-26)
A list of digital pathology image analysis challenges
(2022-04-05)
Final comments on the results of the MoNuSAC challenge
(2021-09-21)
Deep Learning for Image Analysis: video tutorial
(2021-03-17)
Computers in pathology: a long history
(2021-02-19)
AI: better than your doctor?
(2021-01-20)
Artefact detection in Digital Pathology
(2021-01-11)
Fifty shades of U-Net
(2020-12-14)
How to train your neural network
(2020-12-07)
The building blocks of Deep Learning
(2020-11-30)
The machine learning pipeline
(2020-11-25)
Every machine learning algorithm
(2020-03-09)
MITOS12: learning from bad challenge design
(2020-03-02)
A timeline of Deep Learning in Digital Pathology
(2020-02-24)
So... what's Deep Learning?
(2020-02-17)
So... what's Digital Pathology?