MIDL 2023

112 papers

Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI

Abdollah Ghazvanchahi, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi

Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images

Janmesh Ukey, Shireen Elhabian

Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI

Owen Crystal, April Khademi, Alan R Moody, Pejman J Maralani, Sandra E Black

Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling

Tin Vlas̆ić, Tomislav Matulić, Damir Sers̆ić

nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers

Joey Spronck, Thijs Gelton, Leander van Eekelen, Joep Bogaerts, Leslie Tessier

A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images

Yanru Chen, Michael T Lu, Vineet K Raghu

A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction

Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Said Ladjal

MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging

Yuanyuan Wei, Roger Tam, Xiaoying Tang

One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities

Nicolas Pinon, Robin Trombetta, Carole Lartizien

Domain adaptation using optimal transport for invariant learning using histopathology datasets

Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh

Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging

Guangyao Zheng, Samson Zhou, Vladimir braverman, Michael A. Jacobs, Vishwa Sanjay Parekh

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis

Divyam Madaan, Daniel Sodickson, Kyunghyun Cho, Sumit Chopra

Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space

Molin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson

Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics

Hao Zhai, Jing Liu, Bei Hong, Jiazheng Liu, Qiwei Xie

SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification

Wei Zhu, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain

FUSQA: Fetal Ultrasound Segmentation Quality Assessment

Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub

Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva

TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer

Baoqiang Ma, Jiapan Guo, Lisanne Van Dijk, P.M.A. van Ooijen, Stefan Both

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang

Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency

jie Yang, Ye Zhu, Chaoqun Wang, Zhen Li, Ruimao Zhang

Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation

Ye Zhu, jie Yang, Siqi Liu, Ruimao Zhang

OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery

Trevor Seets, Wei LIN, Yizhou Lu, Christie Lin, Adam Uselmann

Evaluating Adversarial Robustness of Low dose CT Recovery

Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller

Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation

Md Mostafijur Rahman, Radu Marculescu

A comparative evaluation of image-to-image translation methods for stain transfer in histopathology

Igor Zingman, Sergio Frayle, Ivan Tankoyeu, Sergey Sukhanov, Fabian Heinemann

FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays

Matthias Keicher, Kamilia Zaripova, Tobias Czempiel, Kristina Mach, Ashkan Khakzar

Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis

Raghav Mehta, Changjian Shui, Tal Arbel

Federated Cross Learning for Medical Image Segmentation

Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber

SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction

NagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G S, Keerthi Ram

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis

Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng

Radiology Reports Improve Visual Representations Learned from Radiographs

Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M Deniz

TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci

DBGDGM: Dynamic Brain Graph Deep Generative Model

Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lió

DBGSL: Dynamic Brain Graph Structure Learning

Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lió

Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference

Vibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho Camacho, Raissa Souza, Nils Forkert

Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints

Rudolf Leonardus Mirjam Van Herten, Louis van Harten, Nils Planken, Ivana Isgum

Reproducibility of Training Deep Learning Models for Medical Image Analysis

Joeran Sander Bosma, Dré Peeters, Natália Alves, Anindo Saha, Zaigham Saghir

ST(OR)$^2$: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy

Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction

Tianyu Hwang, Chih-Hung Wang, Holger R Roth, Dong Yang, Can Zhao

Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data

Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christianus Hansen

Calibration techniques for node classification using graph neural networks on medical image data

Iris Vos, Ishaan Bhat, Birgitta Velthuis, Ynte Ruigrok, Hugo Kuijf

Addressing Chest Radiograph Projection Bias in Deep Classification Models

Sofia Cardoso Pereira, Joana Rocha, Alex Gaudio, Asim Smailagic, Aur’elio Campilho

Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training

Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan, Abdulmotaleb El Saddik

Prior Guided 3D Medical Image Landmark Localization

Yijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang

MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context

Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj

Automatic 3D/2D Deformable Registration in Minimally Invasive Liver Resection using a Mesh Recovery Network

Mathieu Labrunie, Daniel Pizarro, Christophe Tilmant, Adrien Bartoli

Few Shot Hematopoietic Cell Classification

Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta

Spatial Correspondence between Graph Neural Network-Segmented Images

Qian Li, Yunguan Fu, Qianye Yang, Zhijiang Du, Hongjian Yu

Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology

Zongliang Ji, Philip Rosenfield, Christina Eng, Sarah Bettigole, Danielle C Gibson

Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI

Tamir Shor, Tomer Weiss, Dor Noti, Alex Bronstein

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI

Finn Behrendt, Debayan Bhattacharya, Julia Kruger, Roland Opfer, Alexander Schlaefer

Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision

Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye

MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis

Dimitrios Karkalousos, Ivana Isgum, Henk Marquering, Matthan W. A. Caan

Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation

Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan

Whole brain radiomics for clustered federated personalization in brain tumor segmentation

Matthis Manthe, Stefan Duffner, Carole Lartizien

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals

Susu Sun, Stefano Woerner, Andreas Maier, Lisa M. Koch, Christian F. Baumgartner

Metadata-guided Consistency Learning for High Content Images

Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith

Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative

Boyeong Woo, Marlon Bran Lorenzana, Craig Engstrom, William Baresic, Jurgen Fripp

Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes

Jiaqi Guo, Emanuel Azcona, Santiago Lopez-Tapia, Aggelos Katsaggelos

Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data

Yinsheng He, Xingyu Li

Joint cortical registration of geometry and function using semi-supervised learning

Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L Edlow, Bruce Fischl

MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning

Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas

Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images

Nicholas Konz, Maciej A Mazurowski

Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion

Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton

3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation

Cheng Liu, Hisanor Kiryu

Model Adaptive Tooth Segmentation

Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu

Video pretraining advances 3D deep learning on chest CT tasks

Alexander Ke, Shih-Cheng Huang, Chloe P O’Connell, Michal Klimont, Serena Yeung

MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images

Avirup Dey, Mehran Ebrahimi

Deformable Image Registration with Geometry-informed Implicit Neural Representations

Louis van Harten, Rudolf Leonardus Mirjam Van Herten, Jaap Stoker, Ivana Isgum

DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification

Lemuel Puglisi, Arman Eshaghi, Geoff Parker, Frederik Barkhof, Daniel C. Alexander

Rotation-Scale Equivariant Steerable Filters

Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi

MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof

ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations

Chinmay Prabhakar, Hongwei Li, Jiancheng YANG, Suprosanna Shit, Benedikt Wiestler

Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment

Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Seyed Hossein Mirjahanmardir, Dimitrios Androutsos, Melanie Dawe

A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images

Ziqi Wen, Chuyang Ye

SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction

Marco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin

Reference-based MRI Reconstruction Using Texture Transformer

Pengfei Guo, Vishal M. Patel

On-the-Fly Test-time Adaptation for Medical Image Segmentation

Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images

Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert

Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing

Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkuehler, Philippe C. Cattin

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images

Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel

Making Your First Choice: To Address Cold Start Problem in Medical Active Learning

Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen

Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning

Ricardo Mokhtari, Azam Hamidinekoo, Daniel James Sutton, Arthur Lewis, Bastian Angermann

GeoLS: Geodesic Label Smoothing for Image Segmentation

Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

Rogier Van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, Akshay S Chaudhari

A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs

Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya

An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation

Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin

Frozen Language Model Helps ECG Zero-Shot Learning

Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong

Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging

Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi

Data Consistent Deep Rigid MRI Motion Correction

Nalini M Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson

Learning to Compare Longitudinal Images

Heejong Kim, Mert R. Sabuncu

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification

Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images

Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner

E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI

Axel Elaldi, Guido Gerig, Neel Dey

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function

Febrian Rachmadi, Charissa Poon, Henrik Skibbe

CP2Image: Generating high-quality single-cell images using CellProfiler representations

Yanni Ji, Marie Cutiongco, Bj\orn Sand Jensen, Ke Yuan

Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations

Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter Bosman, Tanja Alderliesten

Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients

Linda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson

Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI

Gony Rosenman, Itzik Malkiel, Ayam Greental, Talma Hendler, Lior Wolf