Papers citing 'Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks'

Title
Depth-Sequence Transformer (DST) for Segment-Specific ICA Calcification Mapping on Non-Contrast CT Xiangjian Hou Ebru Yaman Akcicek Xin Wang Kazem Hashemizadeh Scott Mcnally Chun Yuan Xiaodong Ma 124 0 0 10 Jul 2025
Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans Benjamin Jin Grant Mair Joanna M. Wardlaw M. V. Valdés Hernández 85 0 0 02 Jul 2025
A Comprehensive Review on Deep Supervision: Theories and Applications Renjie Li Xinyi Wang Guangtai Huang Wenli Yang Kaining Zhang Xiaodong Gu Son N. Tran Saurabh Garg Jane Elizabeth Alty Quan-wei Bai CLIP 129 20 0 06 Jul 2022
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent S. Chatterjee Himanshi Bajaj Istiyak H. Siddiquee N. Subbarayappa Steve Simon S. Shashidhar Oliver Speck A. Nürnberger 193 7 0 08 Mar 2022
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT Gerda Bortsova D. Bos Florian Dubost Meike W. Vernooij M. Ikram Gijs van Tulder Marleen de Bruijne 96 11 0 20 Jul 2021
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data S. Chatterjee Kartik Prabhu Mahantesh Pattadkal Gerda Bortsova Chompunuch Sarasaen Florian Dubost Hendrik Mattern Marleen de Bruijne Oliver Speck Andreas Nürnberger 140 20 0 18 Jun 2020
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI Florian Dubost H. Adams Gerda Bortsova M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne 106 58 0 16 Feb 2018
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network Florian Dubost Gerda Bortsova H. Adams M. Ikram W. Niessen Meike W. Vernooij Marleen De Bruijne MedIm 118 62 0 22 May 2017