# The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-acrobat-2022-challenge-automatic-registration-of-breast-cancer-tissue/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Philippe Weitz,Masi Valkonen,Leslie Solorzano,Circe Carr,Kimmo Kartasalo,Constance Boissin,Sonja Koivukoski,Aino Kuusela,Dusan Rasic,Yanbo Feng,Sandra Sinius Pouplier,Abhinav Sharma,Kajsa Ledesma Eriksson,Stephanie Robertson,Christian Marzahl,Chandler Gatenbee,Alexander R.A. Anderson,Marek Wodziński,Artur Jurgas,Niccolò Marini,Manfredo Atzori,Henning Müller,Daniel Budelmann,Nick Weiss,Stefan Heldmann,Johannes Lotz,Jelmer M. Wolterink,Bruno De Santi,Abhijeet Patil,Amit Sethi,Satoshi Kondo,Satoshi Kasai,Kousuke Hirasawa,Mahtab Farrokh,Neeraj Kumar,Russell Greiner,Leena Latonen,Anne‐Vibeke Lænkholm,Johan Hartman,Pekka Ruusuvuori,Mattias Rantalainen |
| Citations | 28 |
| DOI | 10.1016/j.media.2024.103257 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.media.2024.103257 |
| OpenAlex ID | https://openalex.org/W4400188830 |
| PMID | 38981282 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Constance Boissin](https://scholariq.org/researchers/constance-boissin/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Cervical Cancer and HPV Research](https://scholariq.org/topics/cervical-cancer-and-hpv-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.