In 2024, I read 99 papers and 21 non-technical books. 99 papers is slightly more than my previous record (87 papers in 2023), while 21 books is slighly less than the 26 I read in 2023 (but still a lot more than what I’ve ever read in a year before that).
In 2025, I want to read 100 papers and at least 20 non-technical books.
Complete list of my read papers: github.com/fregu856/papers.
Among the 99 papers, here are 15 that I found particularly interesting and/or well-written (in alphabetical order):
- A Visual-Language Foundation Model for Computational Pathology (Nature Medicine, 2024)
- A Whole-Slide Foundation Model for Digital Pathology from Real-World Data (Nature, 2024)
- Artificial Intelligence to Identify Genetic Alterations in Conventional Histopathology (Journal of Pathology, 2022)
- Benchmarking Foundation Models as Feature Extractors For Weakly-Supervised Computational Pathology (arXiv, 2024-08)
- Deep Extended Hazard Models for Survival Analysis (NeurIPS 2021)
- Diffusion-Based Generation of Histopathological Whole Slide Images at a Gigapixel Scale (WACV 2024)
- Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study (NeurIPS Workshops 2024)
- Generation of Synthetic Whole-Slide Image Tiles of Tumours from RNA-Sequencing Data via Cascaded Diffusion Models (Nature Biomedical Engineering, 2024)
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction (CVPR 2024)
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology (CVPR 2024)
- Multimodal Histopathologic Models Stratify Hormone Receptor-Positive Early Breast Cancer (bioRxiv, 2024-02)
- Regression-Based Deep-Learning Predicts Molecular Biomarkers From Pathology Slides (Nature Communications, 2024)
- Survival Mixture Density Networks (MLHC 2022)
- Towards a General-Purpose Foundation Model for Computational Pathology (Nature Medicine, 2024)
- Transcriptomics-Guided Slide Representation Learning in Computational Pathology (CVPR 2024)
Some paper statistics (number of papers read each year, papers by publication year, papers by venue):
The 21 non-technical books I read in 2024:
- 24-12-26 | Den vidunderliga ordningen | Andrev Walden | Rating: 4
- 24-12-11 | Historien om Norrland. Dimmans land: från istid till hungernöd | Robin Olovsson | Rating: 3.5
- 24-11-03 | Small Things Like These | Claire Keegan | Rating: 3.5
- 24-10-27 | Din vilja sitter i skogen | Mattias Timander | Rating: 3.5
- 24-10-20 | Ditt lilla mörker i ljuset | Andrev Walden | Rating: 3.5
- 24-10-13 | Barn av sin stad | Per Anders Fogelström | Rating: 4
- 24-09-21 | Mina drömmars stad | Per Anders Fogelström | Rating: 4
- 24-08-31 | Amok | Stefan Zweig | Rating: 4
- 24-08-17 | The Choice: Embrace the Possible | Edith Eger | Rating: 3.5
- 24-08-10 | The World of Yesterday | Stefan Zweig | Rating: 3.5
- 24-07-30 | En tysk mans historia | Sebastian Haffner | Rating: 4
- 24-07-19 | Denna dagen, ett liv - En biografi över Astrid Lindgren | Jens Andersen | Rating: 4
- 24-07-10 | The Woman Destroyed | Simone de Beauvoir | Rating: 4
- 24-07-08 | Notes from Underground | Fyodor Dostoevsky | Rating: 3
- 24-07-06 | White Nights | Fyodor Dostoevsky | Rating: 2.5
- 24-07-04 | Det går an | Carl Jonas Love Almqvist | Rating: 3.5
- 24-06-01 | The Old Man and the Sea | Ernest Hemingway | Rating: 3
- 24-04-12 | Down and Out in Paris and London | George Orwell | Rating: 3
- 24-02-02 | Löparens hjärta | Markus Torgeby | Rating: 4
- 24-01-27 | Inseparable | Simone de Beauvoir | Rating: 4
- 24-01-22 | 1984 | George Orwell | Rating: 4
Among the 21 books, these are my top 6 favorites (in alphabetical order):
- Barn av sin stad | Per Anders Fogelström | Rating: 4
- Denna dagen, ett liv - En biografi över Astrid Lindgren | Jens Andersen | Rating: 4
- Den vidunderliga ordningen | Andrev Walden | Rating: 4
- Inseparable | Simone de Beauvoir | Rating: 4
- Löparens hjärta | Markus Torgeby | Rating: 4
- The Woman Destroyed | Simone de Beauvoir | Rating: 4