Hiroyasu Usami

Testing LLM Judge Reliability

We test three properties of LLM judges: output validity, non-tie preferences between identical answers (dark current), and selection of a specified target.

Anatomy-Preserving Augmentation via Generative AI

A workflow for augmenting medical training images with anatomical controls and generated-sample selection.

Separating Shape and Reflectance from a Single Image

A self-supervised method estimating scene properties like reflectance and shape from a single photo using relighting constraints.

Building IoT Prediction with Sparse Graphs and Physical Constraints

Spatiotemporal prediction that limits graph neighbors and incorporates bandwidth and connection constraints into training.

Mobile Extraction of Carotid Ultrasound IMT Regions

A conference abstract combining MobileNetV3 image classification with SegNet segmentation to examine efficient carotid ultrasound analysis.

Recommending Learning Actions from Activity Logs

A study of learning-action recommendations evaluated through changes in a grade predictor's outputs when activity logs are modified.

Image Translation for Polyp Detection Training

A study augmenting polyp-detector training with NBI-like images generated from white-light endoscopy.

Recovering Polyp Shape and Scale Using a Medical Suture

A study using a known-diameter suture and a lighting model to estimate approximate polyp shape and absolute scale from one endoscope image.

Polyp Shape Recovery with Two Lights and Normal Correction

A study combining a two-light photometric model with learned normal correction to estimate depth and shape from endoscope imagery.