Nicolas Pielawski
Postdoctoral position at Department of Information Technology; Division of Systems and Control
- E-mail:
- nicolas.pielawski@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 337
751 05 UPPSALA
Short presentation
I am working as a postdoctoral researcher developing and implementing AI solutions in the emergency department of Swedish hospitals.
Keywords
- AI
- healthcare
- statistics
- bayesian
- information theory
Publications
Recent publications
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
Part of Proceedings of Machine Learning Research, p. 1-15, 2024
- Download full text 1 (pdf) of Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
- Download full text 2 (pdf) of Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
Part of Heliyon, 2023
- DOI for TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
- Download full text (pdf) of TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
Learning-based prediction, representation, and multimodal registration for bioimage processing
2023
Rotationally Equivariant Representation Learning for Multimodal Images
2022
Contrastive Learning for Equivariant Multimodal Image Representations
2021
All publications
Articles in journal
Part of Heliyon, 2023
- DOI for TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
- Download full text (pdf) of TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
Introducing Hann windows for reducing edge-effects in patch-based image segmentation
Part of PLOS ONE, 2020
- DOI for Introducing Hann windows for reducing edge-effects in patch-based image segmentation
- Download full text (pdf) of Introducing Hann windows for reducing edge-effects in patch-based image segmentation
Articles, review/survey
Deep Learning in Image Cytometry: A Review
Part of Cytometry Part A, p. 366-380, 2019
- DOI for Deep Learning in Image Cytometry: A Review
- Download full text (pdf) of Deep Learning in Image Cytometry: A Review
Comprehensive doctoral thesis
Conference papers
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
Part of Proceedings of Machine Learning Research, p. 1-15, 2024
- Download full text 1 (pdf) of Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
- Download full text 2 (pdf) of Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
Rotationally Equivariant Representation Learning for Multimodal Images
2022
Contrastive Learning for Equivariant Multimodal Image Representations
2021
Registration of Multimodal Microscopy Images using CoMIR – learned structural image representations
2021
Comir: Contrastive multimodal image representation for registration
2021
CoMIR: Contrastive Multimodal Image Representation for Registration
Part of NeurIPS - 34th Conference on Neural Information Processing Systems, 2020
Part of 4th NEUBIAS Conference, Bordeaux, France, 2020
In Silico Prediction of Cell Traction Forces
Part of 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), p. 877-881, 2020