Papers
378 papers found
Embedding-based Instance Segmentation in Microscopy
Manan Lalit, Pavel Tomancak, Florian Jug
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting
Hassan Muhammad, Chensu Xie, Carlie S Sigel et al.
Explainable Image Quality Analysis of Chest X-Rays
Caner Ozer, Ilkay Oksuz
Feature-based image registration in structured light endoscopy
Andreas M Kist, Julian Zilker, Michael Döllinger et al.
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
Xiaobin Hu, Yanyang Yan, Wenqi Ren et al.
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
Joseph Paul Cohen, Rupert Brooks, Sovann En et al.
GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation
Chanh Nguyen, Minh Thanh Huynh, Minh Quan Tran et al.
Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
Hristina Uzunova, Heinz Handels, Jan Ehrhardt
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand et al.
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping
Jinwei Zhang, Hang Zhang, Pascal Spincemaille et al.
Image Sequence Generation and Analysis via GRU and Attention for Trachomatous Trichiasis Classification
Juan Carlos Prieto, Hina Shah, Kasey Jones et al.
Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details
Matteo Dunnhofer, Niki Martinel, Christian Micheloni
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
Tianshu Chu, Xinmeng Li, Huy V. Vo et al.
Intensity Correction and Standardization for Electron Microscopy Data
Oleh Dzyubachyk, Roman I Koning, Aat A Mulder et al.
Learning Diffeomorphic and Modality-invariant Registration using B-splines
Huaqi Qiu, Chen Qin, Andreas Schuh et al.
Learning Interclass Relations for Intravenous Contrast Phase Classification in CT
Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin
Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal $\beta$-Amyloid Data
Md Asadullah Turja, Guorong Wu, Defu Yang et al.
Localizing Neurosurgical Instruments Across Domains and in the Wild
Markus Philipp, Anna Alperovich, Marielena Gutt-Will et al.
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta, Dimitris Stripelis, Pradeep K. Lam et al.
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
Niharika Shimona Dsouza, Mary Beth Nebel, Deana Crocetti et al.
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
Hari Sowrirajan, Jingbo Yang, Andrew Y. Ng et al.
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss
Chao Feng, Chad Vanderbilt, Thomas Fuchs
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
Fahdi Kanavati, Masayuki Tsuneki
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
Aishik Konwer, Joseph Bae, Gagandeep Singh et al.
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping
Carolin Pirkl, Matteo Cencini, Jan W. Kurzawski et al.