default search action
Medical Image Analysis, Volume 70
Volume 70, May 2021
- Jun Xu, Haoda Lu, Haixin Li, Chaoyang Yan
, Xiangxue Wang
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis. 101835 - Yue Zhou, Houjin Chen
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images. 101918 - Tobias Roß, Annika Reinke, Peter M. Full
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. 101920 - Mahmut Yurt, Salman Ul Hassan Dar, Aykut Erdem
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis. 101944 - Markus D. Schirmer
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. 101972 - Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou:
Marginal loss and exclusion loss for partially supervised multi-organ segmentation. 101979 - Chengqian Zhao
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery. 101982 - Hulin Kuang, Bijoy K. Menon, Sung Il Sohn
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke. 101984 - Alexis Reymbaut, Alex Valcourt Caron
Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding. 101988 - Cheng Xue, Lei Zhu, Huazhu Fu
Global guidance network for breast lesion segmentation in ultrasound images. 101989 - Kagan Incetan
VR-Caps: A Virtual Environment for Capsule Endoscopy. 101990 - Yuemeng Li, Hongming Li
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. 101991 - Dong Yang
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. 101992 - Aoxiao Zhong
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. 101993 - Md. Kamrul Hasan
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry. 101994 - Gyuhyun Lee
DeepHCS++: Bright-field to fluorescence microscopy image conversion using multi-task learning with adversarial losses for label-free high-content screening. 101995 - Rüdiger Schmitz, Frederic Madesta
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture. 101996 - Pak-Hei Yeung
Learning to map 2D ultrasound images into 3D space with minimal human annotation. 101998 - S. K. HashemizadehKolowri, Rong-Rong Chen, Ganesh Adluru
Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI. 102000 - Tianling Lyu
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. 102001 - Sharib Ali
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. 102002 - Lei Du
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. 102003 - Thomas de Bel, John-Melle Bokhorst, Jeroen van der Laak
Residual cyclegan for robust domain transformation of histopathological tissue slides. 102004 - Dong Zhang, Bo Chen, Jaron Chong, Shuo Li
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images. 102005 - Yuexiang Li
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description. 102006 - Debesh Jha
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. 102007 - Alessandro Casella
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation. 102008 - Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington
Predicting future cognitive decline with hyperbolic stochastic coding. 102009 - Xi Wang
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification. 102010 - Yohan Jun
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method. 102017 - Jingke Zhang, Qiong He, Yang Xiao, Hairong Zheng, Congzhi Wang
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network. 102018 - Thomas Wollmann
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images. 102019 - Zhiyuan Liu
Fitting unbranching skeletal structures to objects. 102020 - Huisi Wu, Wei Wang
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation. 102025 - João Pedrosa
LNDb challenge on automatic lung cancer patient management. 102027 - Yixing Huang
Cephalogram synthesis and landmark detection in dental cone-beam CT systems. 102028 - Zheng Zhang
Directional-TV algorithm for image reconstruction from limited-angular-range data. 102030 - Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. 102032 - Lawrence H. Staib
Special issue on MICCAI 2019. 102033
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-28 20:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: