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20212025
most citedDeep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

25 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ins-det2025

Below 100 ps CTR using FastIC+, an ASIC including on-chip digitization for ToF-PET and beyond

D. Mazzanti, S. Gomez, J. Mauricio +19

This work presents the 8-channel FastIC+, a low-power consumption and highly configurable multi-channel front-end ASIC with internal digitization, for the readout of photo-sensors…

cs.CV2025

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation

Jia Wei, Xiaoqi Zhao, Jonghye Woo +4

Single domain generalization (SDG) has recently attracted growing attention in medical image segmentation. One promising strategy for SDG is to leverage consistent semantic shape p…

cs.CV2022★ 4 cited

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives

Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing +4

Deep learning has become the method of choice to tackle real-world problems in different domains, partly because of its ability to learn from data and achieve impressive performanc…

cs.SD2022

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince +4

Understanding the underlying relationship between tongue and oropharyngeal muscle deformation seen in tagged-MRI and intelligible speech plays an important role in advancing speech…

physics.med-ph2021★ 25 cited

Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

Thibault Marin, Yue Zhuo, Rita Maria Lahoud +11

Background and purpose: The delineation of the gross tumor volume (GTV) is a critical step for radiation therapy treatment planning. The delineation procedure is typically performe…