Artificial Intelligence in CardioThoracic Sciences (AICTS)
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- 2024
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Mark
Fast-track recovery after surgery for perforated peptic ulcer safely shortens hospital stay : A systematic review and meta-analysis of six randomized controlled trials and 356 patients
(
- Contribution to journal › Scientific review
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Mark
Impact of Neoadjuvant Therapy for Pancreatic Cancer : Transatlantic Trend and Postoperative Outcomes Analysis
(
- Contribution to journal › Article
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Mark
Neoadjuvant FOLFIRINOX versus upfront surgery for resectable pancreatic head cancer (NORPACT-1) : a multicentre, randomised, phase 2 trial
(
- Contribution to journal › Article
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Mark
Biliary tract cancer
2024) In European Journal of Surgical Oncology(
- Contribution to journal › Article
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Mark
Mapping the Past : Geographically Linking an Early 20th Century Swedish Encyclopedia with Wikidata
2024) Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024 In 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings p.11040-11048(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
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Mark
Organ preservation and perfusion influence on outcome after clinical heart transplantation
2023) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
Sex and gender differences in treatment intention, quality of life and performance status in the first 100 patients with periampullary cancer enrolled in the CHAMP study
(
- Contribution to journal › Article
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Mark
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
2023)(
- Working paper/Preprint › Preprint in preprint archive
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Mark
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- Contribution to journal › Article
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Mark
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
2023) Swedish Emergency Medicine Talks - SWEETS23(
- Contribution to conference › Poster