JWJiajun Wang(Jesse)injiajun.de·May 15 · 3 min readProject Introduction: High-Fidelity 3D Photon-Counting CT Denoising via Advanced Generative AI1. Background and Motivation Photon-counting computed tomography (PCCT) represents the next major technological leap in medical imaging. By directly converting X-ray photons into electrical signals, P00
JWJiajun Wang(Jesse)injiajun.de·Mar 31 · 2 min read基于生成式AI的 3D PCCT 去噪算法研发:6个月工作计划第1个月:入职培训、环境部署与数据预处理 目标: 完成企业与医院的入职流程,熟悉研发环境,完成数据清洗与经典深度学习 Baseline 的初步验证。 第1-2周:入职与环境熟悉 完成西门子医疗中国及北京协和医院的入职手续与安全/合规培训。 熟悉协和医院放射科驻场工作环境,获取联合实验室高性能计算集群(8卡A100)的访问权限及环境配置。 与院方医生及西门子/FAU导师对齐项目最终预期,确认00
JWJiajun Wang(Jesse)injiajun.de·Mar 28 · 5 min readDSS-SQA: Decoupling Structure and Semantics for Semantic Quality AssessmentLinks: GitHub Repository | LoViF 2026 Challenge As Generative AI (AIGC) fundamentally transforms low-level vision tasks, the way we evaluate image quality is undergoing a massive paradigm shift. In 00
JWJiajun Wang(Jesse)injiajun.de·Mar 18 · 1 min readBVM2026 in LübeckJust wrapped up an incredibly inspiring two days at the BVM 2026 (German Conference on Medical Image Computing)! I had the great honor of presenting our recent work, "Explainable Radiologist-Aligned V00
JWJiajun Wang(Jesse)injiajun.de·Feb 13 · 5 min readFine-Tuning Qwen2.5-VL on Your Own Images using LLaMA-FactoryThe world of Large Language Models (LLMs) is evolving rapidly into Vision-Language Models (VLMs). Models that can see and understand images—like Qwen2.5-VL—are game changers for tasks like OCR, medica00