Tootfinder

The front-yard garden. You don't need much space to grow an awful lot.
#gardening #BloomScrolling

Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy
Gideon N. L. Rouwendaal, Dani\"el Boeke, Inge L. Cox, Henk G. van der Poel, Margriet C. van Dijk-de Haan, Regina G. H. Beets-Tan, Thierry N. Boellaard, Wilson Silva
https://arxiv.org/abs/2508.03461

Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy
Accurate preoperative prediction of erectile dysfunction (ED) is important for counseling patients undergoing radical prostatectomy. While clinical features are established predictors, the added value of preoperative MRI remains underexplored. We investigate whether MRI provides additional predictive value for ED at 12 months post-surgery, evaluating four modeling strategies: (1) a clinical-only baseline, representing current state-of-the-art; (2) classical models using handcrafted anatomical f…

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
Dani\"el Boeke, Cedrik Blommestijn, Rebecca N. Wray, Kalina Chupetlovska, Shangqi Gao, Zeyu Gao, Regina G. H. Beets-Tan, Mireia Crispin-Ortuzar, James O. Jones, Wilson Silva, Ines P. Machado
https://arxiv.org/abs/2508.21581

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
Recurrence risk estimation in clear cell renal cell carcinoma (ccRCC) is essential for guiding postoperative surveillance and treatment. The Leibovich score remains widely used for stratifying distant recurrence risk but offers limited patient-level resolution and excludes imaging information. This study evaluates multimodal recurrence prediction by integrating preoperative computed tomography (CT) and postoperative histopathology whole-slide images (WSIs). A modular deep learning framework wit…

I got the list for this week from the CSA folks:
- Fennel
- Cucumber
- Zucchini
- Onion, Torpedo
- Lettuce
- Herb, Dill
- Scallions
- Beets

Here is my little buddy. She comes hopping if she sees me outside and follows me around the yard.
One time I was going somewhere in the yard and stopped and felt a bump. She had run into me and was backing up and trying to decide if she should flee or what as she was shivering. Little pieces of carrots are her favorites but she will eat swiss chard, romaine lettuce and beets too. Most of other veggies she will nibble and leave.

In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan, Hoel Kervadec, Kristoffer Wickstr{\o}m, Wilson Silva
https://arxiv.org/abs/2508.13880

In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
Deep learning models in medical imaging often achieve strong in-distribution performance but struggle to generalise under distribution shifts, frequently relying on spurious correlations instead of clinically meaningful features. We introduce LCRReg, a novel regularisation approach that leverages Latent Concept Representations (LCRs) (e.g., Concept Activation Vectors (CAVs)) to guide models toward semantically grounded representations. LCRReg requires no concept labels in the main training set …