Jiawen Yao

most cited

M^{2}

Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

1 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports

Guangyu Guo, Jiawen Yao, Yingda Xia +7

The absence of adequately sufficient expert-level tumor annotations hinders the effectiveness of supervised learning based opportunistic cancer screening on medical imaging. Clinic…

eess.IV2024★ 1 cited

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Wei Fang, Yuxing Tang, Heng Guo +9

In the realm of medical 3D data, such as CT and MRI images, prevalent anisotropic resolution is characterized by high intra-slice but diminished inter-slice resolution. The lowered…

cs.CV2024★ 1 cited

$M^{2}$ Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

Quan Liu, Jiawen Yao, Lisha Yao +6

Colorectal cancer (CRC) micro-satellite instability (MSI) prediction on histopathology images is a challenging weakly supervised learning task that involves multi-instance learning…

Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

M2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

$M^{2}$ Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction