publications

Research Highlights

1. Under Review

   

   Efficient Conformal Volumetry for Template-Based Segmentation

   Under Review, 2026

   arXiv GitHub

   Efficient conformal uncertainty quantification for volumetry in template-based segmentation pipelines, producing prediction sets with guaranteed coverage while staying practical for large-scale medical imaging workflows.
2. ICLR

   

   COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics

   ICLR, 2026

   OpenReview arXiv GitHub

   A feature-based conformal framework for building reliable prediction intervals and sets for segmentation metrics, designed to remain robust under distribution shift and aligned with clinical evaluation metrics.
3. IEEE ISBI

   

   Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines

   IEEE ISBI, 2026

   arXiv

   Conformal calibration for metric-based imaging pipelines with explicit attention to bias, aiming to preserve statistical guarantees while accounting for heterogeneous errors across cohorts and measurement conditions.
4. UNSURE @ MICCAI

   

   Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction

   UNSURE @ MICCAI, 2025

   Springer arXiv GitHub

   Instead of calibrating pixel-level uncertainty, this work calibrates conformal bounds on clinically meaningful derived metrics from probabilistic reconstructions, enabling interpretable uncertainty and flagging plausible-looking but statistically unlikely reconstructions.
5. IEEE ISBI

   

   When Are Diffusion Priors Helpful in Sparse Reconstruction? A Study With Sparse-View CT

   IEEE ISBI, 2025

   IEEE arXiv

   A systematic study of diffusion priors for sparse-view CT showing that diffusion can recover detail with very few projections, but can also plateau and produce convincing failure modes that require careful evaluation in high-stakes settings.

Other Publications

1. IEEE TBME

   

   Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation

   IEEE TBME, 2024

   IEEE Website

   A systematic review of cuffless wearable blood pressure devices, emphasizing how protocol and evaluation design choices drive heterogeneous reported performance and proposing directions for more comparable and safer validation.
2. IEEE TBCAS

   

   An Ultrasonic Transceiver for Non-Invasive Intracranial Pressure Sensing

   IEEE TBCAS, 2024

   IEEE

   A low-power ultrasonic through-transmission transceiver for portable, non-invasive intracranial pressure monitoring using time-of-flight measurements, validated on phantom setups with strong correlation to invasive sensing.
3. IEEE ISSCC

   

   17.11 A 9mW Ultrasonic Through Transmission Transceiver for Non-Invasive Intracranial Pressure Sensing

   IEEE ISSCC, 2024

   IEEE

   An energy-efficient ultrasonic through-transmission transceiver architecture for non-invasive intracranial pressure sensing, focused on enabling practical, portable monitoring hardware.
4. IEEE ICASSP

   

   Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels

   IEEE ICASSP, 2021

   IEEE arXiv

   A representation method for variable-length sequences based on recurrent neural tangent kernels, producing fixed-length compressed features for downstream learning tasks.

GitHub Code

1. GitHub Profile

   GitHub

   Research code, experiments, and supporting implementations for ongoing projects.