MIDL

Keyphrases

Publications

2023

Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. MIDL (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL (2023)
Ziqi Wen, Chuyang Ye
A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images. MIDL (2023)
Yijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang
Prior Guided 3D Medical Image Landmark Localization. MIDL (2023)
Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye, Heather Ting Ma
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision. MIDL (2023)
Hao Zhai, Jing Liu, Bei Hong, Jiazheng Liu, Qiwei Xie, Hua Han
Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics. MIDL (2023)
Jiaqi Guo, Emanuel A. Azcona, Santiago Lopez Tapia, Aggelos K. Katsaggelos
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes. MIDL (2023)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller
Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL (2023)
Alexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar
Video pretraining advances 3D deep learning on chest CT tasks. MIDL (2023)
Tin Vlasic, Tomislav Matulic, Damir Sersic
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling. MIDL (2023)
Dimitrios Karkalousos, Ivana Isgum, Henk A. Marquering, Matthan W. A. Caan
MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis. MIDL (2023)
Pengfei Guo, Vishal M. Patel
Reference-based MRI Reconstruction Using Texture Transformer. MIDL (2023)
Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. MIDL (2023)
Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li, Florian Sebastian Kofler, Bjoern H. Menze
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images. MIDL (2023)
Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman
Reproducibility of Training Deep Learning Models for Medical Image Analysis. MIDL (2023)
Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lio
DBGSL: Dynamic Brain Graph Structure Learning. MIDL (2023)
Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz
Few Shot Hematopoietic Cell Classification. MIDL (2023)
Lemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. MIDL (2023)
Trevor Seets, Wei Lin, Yizhou Lu, Christie Lin, Adam Uselmann, Andreas Velten
OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery. MIDL (2023)
Yanru Chen, Michael T. Lu, Vineet K. Raghu
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images. MIDL (2023)
Febrian Febrian Rachmadi, Charissa Poon, Henrik Skibbe
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function. MIDL (2023)
Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. MIDL (2023)
Axel Elaldi, Guido Gerig, Neel Dey
E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI. MIDL (2023)
Preface. MIDL (2023)
Matthias Keicher, Kamilia Zaripova, Tobias Czempiel, Kristina Mach, Ashkan Khakzar, Nassir Navab
FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays. MIDL (2023)
Owen Crystal, April Khademi, Alan R. Moody, Pejman Jahbedar Maralani, Sandra E. Black
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI. MIDL (2023)
Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL (2023)
Nicolas Pinon, Robin Trombetta, Carole Lartizien
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities. MIDL (2023)
Jiacheng Wang, Kathleen E. Larson, Ipek Oguz
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses. MIDL (2023)
Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Pingkun Yan
Federated Cross Learning for Medical Image Segmentation. MIDL (2023)
Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors. MIDL (2023)
Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch
Sparse Activations for Interpretable Disease Grading. MIDL (2023)
Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. MIDL (2023)
Janmesh Ukey, Shireen Y. Elhabian
Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images. MIDL (2023)
Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh
Domain adaptation using optimal transport for invariant learning using histopathology datasets. MIDL (2023)
Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs. MIDL (2023)
Qian Li, Yunguan Fu, Qianye Yang, Zhijiang Du, Hongjian Yu, Yipeng Hu
Spatial Correspondence between Graph Neural Network-Segmented Images. MIDL (2023)
Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime. MIDL (2023)
Tianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. MIDL (2023)
Rudolf Leonardus Mirjam Van Herten, Louis D. van Harten, Nils Planken, Ivana Isgum
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints. MIDL (2023)
Yuanyuan Wei, Roger C. Tam, Xiaoying Tang
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging. MIDL (2023)
Nicholas Konz, Maciej A. Mazurowski
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images. MIDL (2023)
Vibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho, Raissa Souza, Nils D. Forkert
Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference. MIDL (2023)
Avirup Dey, Mehran Ebrahimi
MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images. MIDL (2023)
Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. MIDL (2023)
Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. MIDL (2023)
Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction. MIDL (2023)
Md Mostafijur Rahman, Radu Marculescu
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. MIDL (2023)
Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Seyed Hossein Mirjahanmardir, Dimitrios Androutsos, Melanie Dawe, Anthony Fyles, Wei Shi, Fei-Fei Liu, Susan Done, April Khademi
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment. MIDL (2023)

volume 227, 2023

Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA. MIDL 227 (2023)