To evaluate and optimize segmentation pipeline configurations for head-and-neck organ segmentation to improve accuracy, robustness, and clinical applicability.
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Columbia University
Rank #109 · 9 unique linked submissions.
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To generalize decentralized mutual learning to multi-class 3D organ-at-risk (OAR) segmentation and evaluate whether gossip-based peer-to-peer training improves federated radiotherapy auto-segmentation across heterogeneous clinical sites.
Current clinical toxicity models for predicting radiation-induced pneumonitis are limited by lack of functional information; furthermore, current practice assumes a relative biological effectiveness (RBE) of 1.1 for proton therapy patients. We hypothesize tha...
To evaluate the robustness and generalizability of Det2Prompt, a foundation-model driven framework for partially-label medical image segmentation, under various annotation conditions.
To evaluate the feasibility of online adaptive radiotherapy using Ethos Emulator 2.0 for pediatric abdominal neuroblastoma, aiming to maintain target coverage while reducing dose to organs at risk (OARs) and potentially enabling smaller treatment margins.
To compare the predictions of two pharmacokinetic models for 177Lu-PSMA radiopharmaceutical therapy on a virtual patient cohort and evaluate how their differences in predicted time-activity curves propagate to the organ-at-risk self-dose estimations across an...
Alzheimer’s disease (AD) progression can be monitored with longitudinal PET imaging. Changes in amyloid and tau; two characteristic AD proteins, are measured using [11C]PiB and [18F]AV1451, similar to how serial imaging with [18F]FDG is used to clinically ass...
To quantify and visualize tumor microenvironment transport behavior in longitudinal breast DCE-MRI acquired during neoadjuvant chemotherapy (NACT), and to develop image-based biomarkers for predicting therapeutic response
The sensitivity of normal liver tissue raises concerns about potential liver function post-cancer treatment. We investigate whether liver radiomics features derived from standard CT-guided radiation therapy (RT) can improve acute functional liver decline pred...