Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis

20 October 2019

Papers citing "Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis"

5 / 5 papers shown

Title
Faithful learning with sure data for lung nodule diagnosis Hanxiao Zhang Liang Chen Xiao Gu Minghui Zhang Yulei Qin Feng Yao Zhexin Wang Yun Gu Guangyao Yang 44 1 0 25 Feb 2022
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans Jiancheng Yang Shixuan Gu Donglai Wei Hanspeter Pfister Bingbing Ni 3DPC 43 30 0 17 Sep 2021
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response Jiancheng Yang Jiajun Chen Kaiming Kuang Tiancheng Lin Junjun He Bingbing Ni 55 9 0 08 Oct 2020
Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules Yamin Li Jiancheng Yang Yi Xu Jingwei Xu X. Ye G. Tao Xueqian Xie Guixue Liu 3DH 26 0 0 24 Jun 2020
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers Jiancheng Yang Haoran Deng Xiaoyang Huang Bingbing Ni Yi Tian Xu ViT 37 29 0 12 Apr 2020