MIDL 2024

118 papers

Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins

Alexander M. Zolotarev, Abbas Khan Rayabat Khan, Gregory Slabaugh, Caroline Roney

DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery

Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine Davey

Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer

Meng Zhou, Farzad Khalvati

Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers

Guangyao Zheng, Vladimir braverman, Jeffrey Leal, Steven Rowe, Doris Leung

Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation

Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai

Style Randomization Improves the Robustness of Breast Density Estimation in MR Images

Goksenin Yuksel, Koen Eppenhof, Jaap Kroes, Marcel Worring

PAAN: Pyramid Attention Augmented Network for polyp segmentation

Sida Yi, Yuesheng Zhu, Guibo Luo

Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer’s Disease Data.

Hadya Yassin, Jana Fehr, Wei-Cheng Lai, Alina Krichevsky, Alexander Rakowski

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction

Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation

Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner

Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs

Bowen Xin, Tony Young, Claire Wainwright, Tamara Blake, Leo Lebrat

Semi-Supervised Segmentation via Embedding Matching

Weiyi Xie, Nathalie Willems, Nikolas Lessmann, Tom Gibbons, Daniele De Massari

Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach

Anna M. Wundram, Paul Fischer, Stephan Wunderlich, Hanna Faber, Lisa M. Koch

IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup

Jiqing Wu, Ingrid Berg, Viktor Koelzer

Medical diffusion on a budget: Textual Inversion for medical image generation

Bram de Wilde, Anindo Saha, Maarten de Rooij, Henkjan Huisman, Geert Litjens

Skin Malignancy Classification Using Patients’ Skin Images and Meta-data: Multimodal Fusion for Improving Fairness

Ke Wang, Ningyuan Shan, Henry Gouk, Iris Szu-Szu Ho

OFELIA: Optical Flow-based Electrode LocalIzAtion

Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S Kevin Zhou

Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning

Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour

Target and task specific source-free domain adaptive image segmentation

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

Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke

Lucas de Vries, Rudolf Leonardus Mirjam Van Herten, Jan W. Hoving, Ivana Isgum, Bart Emmer

Shape of my heart: Cardiac models through learned signed distance functions

Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause

VariViT: A Vision Transformer for Variable Image Sizes

Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao

Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains

Robin Trombetta, Olivier Rouvière, Carole Lartizien

Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+

Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko

Analysis of Transformers for Medical Image Retrieval

Arvapalli Sai Susmitha, Vinay P. Namboodiri

[Citation needed] Data usage and citation practices in medical imaging conferences

Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez

SINR: Spline-enhanced implicit neural representation for multi-modal registration

Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson

Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling

Yasin Shokrollahi, Karina Pinao Gonzales, Maria Esther Salvatierra, Simon P. Castillo, Tanishq Gautam

ThickV-Stain: Unprocessed Thick Tissues Virtual Staining for Rapid Intraoperative Histology

Lulin Shi, Xingzhong Hou, Ivy H. M. Wong, Simon C. K. Chan, Zhenghui Chen

Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation

Jiachen Shen, Wenxuan Wang, Chen Chen, Jianbo Jiao, Jing Liu

Lupus Nephritis Subtype Classification with only Slide Level Labels

Amit Sharma, Ekansh Chauhan, Megha S Uppin, Liza Rajasekhar, C.V. Jawahar

Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM

Tal Shaharabany, Lior Wolf

Dense Self-Supervised Learning for Medical Image Segmentation

Maxime Seince, Loı̈c Le Folgoc, Luiz Facury De Souza, Elsa Angelini

A Patch-based Student-Teacher Pyramid Matching Approach to Anomaly Detection in 3D Magnetic Resonance Imaging

Johannes Schwarz, Lena Will, Jörg Wellmer, Axel Mosig

Imbalance-aware loss functions improve medical image classification

Daniel Scholz, Ayhan Can Erdur, Josef A Buchner, Jan C Peeken, Daniel Rueckert

Diffusion X-ray image denoising

Daniel Sanderson, Pablo M. Olmos, Carlos Fernández Del Cerro, Manuel Desco, Monica Abella

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models

Corentin Royer, Bjoern Menze, Anjany Sekuboyina

Anomaly-focused Single Image Super-resolution with Artifact Removal for Chest X-rays using Distribution-aware Diffusion Model

Dattatreyo Roy, Angshuman Paul

Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios

Mariia Rizhko, Lauren Erdman, Mandy Rickard, Kunj Sheth, Daniel Alvarez

Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification

Isabel Rio-Torto, Jaime S Cardoso, Luis Filipe Teixeira

Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models

Tianyi Ren, Abhishek Sharma, Juampablo E Heras Rivera, Lakshmi Harshitha Rebala, Ethan Honey

Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance

Habib Rebbah, Magalie Viallon, Pierre Croisille, Timothé Boutelier

Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder

Kumari Rashmi, Ayantika Das, NagaGayathri Matcha, Keerthi Ram, Mohanasankar Sivaprakasam

UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation

Amin Ranem, Mohamed Afham Mohamed Aflal, Moritz Fuchs, Anirban Mukhopadhyay

UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training

Aimon Rahman, Vishal M. Patel

Slide-SAM: Medical SAM Meets Sliding Window

Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S Kevin Zhou

NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification

Sun Qiehe, Doukou Jiang, Jiawen Li, Renao YAN, Yonghong He

Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models

Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya

Cell-DETR: Efficient cell detection and classification in WSIs with transformers

Oscar Pina, Eduard Dorca, Verónica Vilaplana

Annotation-Efficient Strategy for Segmentation of 3D Body Composition

Lena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst Karl Hahn

Unsupervised Deep Learning Method for Bias Correction

Maria Perez-Caballero, Sergio Morell-Ortega, Marina Ruiz Perez, Pierrick Coupe, Jose V Manjon

Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models

Ashay Patel, Mark S Graham, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso

Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features

Abbas Omidi, Amirmohammad Shamaei, Anouk Verschuu, Regan King, Lara Leijser

Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images

Eugenia Moris, Ignacio Larrabide, José Ignacio Orlando

ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities

Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve OUDOT, Vicky Kalogeiton

RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity Classification

Sara Mı́nguez Monedero, Fabian Westhaeusser, Ehsan Yaghoubi, Simone Frintrop, Marina Zimmermann

IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis

Carl Molnar, Thomas E. Tavolara, Christopher A. Garcia, David S. McClintock, Mark D. Zarella

Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video

Karel Moens, Jonas De Vylder, Matthew B. Blaschko, Tinne Tuytelaars

Training-free Prompt Placement by Propagation for SAM Predictions in Bone CT Scans

Caroline Magg, Lukas P.E. Verweij, Maaike A. ter Wee, George S. Buijs, Johannes G.G. Dobbe

Automated ranking of chest x-ray radiological finding severity in a binary label setting

Matthew Macpherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana

Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation

Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones

Robin Louiset, Edouard Duchesnay, Grigis Antoine, Benoit Dufumier, Pietro Gori

Detecting Brain Anomalies in Clinical Routine with the $β$-VAE: Feasibility Study on Age-Related White Matter Hyperintensities

Sophie Loizillon, Yannick Jacob, Maire Aurélien, Didier Dormont, Olivier Colliot

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data

Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich

Heterogeneous Medical Data Integration with Multi-Source StyleGAN

Wei-Cheng Lai, Matthias Kirchler, Hadya Yassin, Jana Fehr, Alexander Rakowski

Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images

Patrick Köhler, Jeremiah Fadugba, Philipp Berens, Lisa M. Koch

Registration Quality Evaluation Metric with Self-Supervised Siamese Networks

Tanvi Kulkarni, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam

Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations

Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul Yi

Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion

Thijs P. Kuipers, Praneeta R. Konduri, Henk Marquering, Erik J Bekkers

Real-time MR-based 3D motion monitoring using raw k-space data

Marius Krusen, Floris Ernst

ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning

Mirko Konstantin, Moritz Fuchs, Anirban Mukhopadhyay

Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy

Amith Jagannath Kamath, Zahira Mercado Auf der Maur, Robert Poel, Jonas Willmann, Ekin Ermis

Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation

Jun Jiang, Shi Gu

Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation

Jue Jiang, Harini Veeraraghavan

Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning

Sanaz Jarimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof

Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions

Mohammad Mohaiminul Islam, Coen de Vente, Bart Liefers, Caroline Klaver, Erik J Bekkers

A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke

Sofia Vargas Ibarra, Vincent Martin VIGNERON, Sonia Garcia Salicetti, Hichem Maaref, Jonathan Kobold

ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation

Jiesi Hu, Yang Shang, Yanwu Yang, Xutao Guo, Hanyang Peng

Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification

Katharina V Hoebel, Jesseba Fernando, William Lotter

Implicit neural obfuscation for privacy preserving medical image sharing

Mattias P Heinrich, Lasse Hansen

REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration

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

Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation

Hanxue Gu, Roy Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman

Multi-Objective Learning for Deformable Image Registration

Monika Grewal, Henrike Westerveld, Peter Bosman, Tanja Alderliesten

Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation

Robert Graf, Hendrik Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch

Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction

Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Hans Meine

Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure

Bernhard Föllmer, Kenrick Schulze, Christian Wald, Sebastian Stober, Wojciech Samek

HARP: Unsupervised Histopathology Artifact Restoration

Moritz Fuchs, Ssharvien Kumar R Sivakumar, Mirko Schöber, Niklas Woltering, Marie-Lisa Eich

Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping

Rutger RH Fick, Christof Bertram, Marc Aubreville

DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations

Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel

Predicting DNA Content Abnormalities in Barrett’s Esophagus: A Weakly Supervised Learning Paradigm

Caner Ercan, Xiaoxi Pan, Thomas G. Paulson, Matthew D. Stachler, Carlo C. Maley

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity

Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy Hospedales

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation

Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis Langlotz, Andrew Y. Ng

Multimodal Image Registration Guided by Few Segmentations from One Modality

Başar Demir, Marc Niethammer

Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation

Meghane Decroocq, Binbin Xu, Katherine L Thompson-Peer, Adrian Moore, Henrik Skibbe

An unexpected confounder: how brain shape can be used to classify MRI scans ?

Valentine Wargnier Dauchelle, Thomas Grenier, Michaël Sdika

Video Polyp Segmentation using Implicit Networks

Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf

Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders

Simon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson

The Multiscale Surface Vision Transformer

Simon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson

Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation

Raoul Sallé de Chou, Matthew Sinclair, Sabrina Lynch, Nan Xiao, Laurent Najman