MIDL 2022

98 papers

Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation

Xiner Zhu, Haoji Hu, Hualiang Wang, Jincao Yao, Wei Li

Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning

Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian

KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection

Evan M Yu, Alan Q Wang, Adrian V Dalca, Mert R Sabuncu

Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning

Sixing Yin, Yameng Han, Judong Pan, Yining Wang, Shufang Li

Hierarchical Optimal Transport for Comparing Histopathology Datasets

Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk, David Alvarez-Melis, Grace Huynh

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen

Regularizing Brain Age Prediction via Gated Knowledge Distillation

Yanwu Yang, Guo Xutao, Chenfei Ye, Yang Xiang, Ting Ma

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson

Learned Half-Quadratic Splitting Network for MR Image Reconstruction

Bingyu Xin, Timothy Phan, Leon Axel, Dimitris Metaxas

Towards IID representation learning and its application on biomedical data

Jiqing Wu, Inti Zlobec, Maxime Lafarge, Yukun He, Viktor Koelzer

Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images

Boyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra

Implicit Neural Representations for Deformable Image Registration

Jelmer M Wolterink, Jesse C Zwienenberg, Christoph Brune

Diffusion Models for Implicit Image Segmentation Ensembles

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin

Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images

Yuan Wang, Laura Blackie, Irene Miguel-Aliaga, Wenjia Bai

EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring

Royden Wagner, Karl Rohr

MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning

Damir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam

Cell Anomaly Localisation using Structured Uncertainty Prediction Networks

Boyko Vodenicharski, Samuel McDermott, Katherine M. Webber, Viola Introini, Pietro Cicuta

SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction

Serge Vasylechko Didenko, Simon Warfield, Sila Kurugol, Onur Afacan

An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation

Şerban Vădineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg

Inference of captions from histopathological patches

Masayuki Tsuneki, Fahdi Kanavati

Efficient tool segmentation for endoscopic videos in the wild

Clara Tomasini, Iñigo Alonso, Luis Riazuelo, Ana C Murillo

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar

Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data

Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xose Luis Dean-Ben

MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy

Xinzi Sun, Dechun Wang, Qilei Chen, Jing Ni, Shuijiao Chen

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?

Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub

Speckle and Shadows: Ultrasound-specific Physics-based Data Augmentation for Kidney Segmentation

Rohit Singla, Cailin Ringstrom, Ricky Hu, Victoria Lessoway, Janice Reid

MRI bias field correction with an implicitly trained CNN

Attila Simkó, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson

Self-Supervised Representation Learning for High-Content Screening

Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele

Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features

Rasha Sheikh, Thomas Schultz

Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data

Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Moses, Erik Meijering

Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI data

Ziyao Shang, Md Asadullah Turja, Eric Feczko, Audrey Houghton, Amanda Rueter

Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data

Ahmed Shahin, Joseph Jacob, Daniel Alexander, David Barber

Segmentation-Consistent Probabilistic Lesion Counting

Julien Schroeter, Chelsea Myers-Colet, Douglas L Arnold, Tal Arbel

YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation

Pranab Samanta, Nitin Singhal

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?

Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub

Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?

Saikat Roy, David Kügler, Martin Reuter

Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning

Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman

Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation

Navid Rabbani, Callyane Seve, Nicolas Bourdel, Adrien Bartoli

Structural Networks for Brain Age Prediction

Oscar Pina, Irene Cumplido-Mayoral, Raffaele Cacciaglia, José María González-de-Echávarri, Juan Domingo Gispert

Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net

Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge

On the Pitfalls of Using the Residual Error as Anomaly Score

Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert

Self-Supervised Transformers for fMRI representation

Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler

LILE: Look In-Depth before Looking Elsewhere – A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives

Danial Maleki, H.R Tizhoosh

MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers

Dwarikanath Mahapatra, Zongyuan Ge

Label conditioned segmentation

Tianyu Ma, Benjamin C Lee, Mert R Sabuncu

Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder

Matthew Lyon, Paul Armitage, Mauricio A Álvarez

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang

Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation

Haozhe Luo, Yu Changdong, Raghavendra Selvan

Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis

Jingya Liu, Bin Lou, Mamadou Diallo, Tongbai Meng, Heinrich von Busch

Vision Transformers Enable Fast and Robust Accelerated MRI

Kang Lin, Reinhard Heckel

A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes

Lars Leyendecker, Julius Haas, Tobias Piotrowski, Maik Frye, Cora Becker

Confidence Histograms for Model Reliability Analysis and Temperature Calibration

Farina Kock, Felix Thielke, Grzegorz Chlebus, Hans Meine

Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection

Lisa M Koch, Christian M Schürch, Arthur Gretton, Philipp Berens

Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography

Tobias Knopp, Mirco Grosser

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings

Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann

PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization

Hyunwoo Kim, Hanbin Ko, Jungjun Kim

Deep Learning for Model Correction in Cardiac Electrophysiological Imaging

Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari

Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI

Antanas Kascenas, Nicolas Pugeault, Alison Q. O’Neil

A Flexible Meta Learning Model for Image Registration

Frederic Kanter, Jan Lellmann

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks

Ankita Joshi, Yi Hong

Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers

Justin Huynh, Samira Masoudi, Abraham Noorbaksh, Kyle Hasenstab, Michael Pazzani

AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search

Ziyan Huang, Zehua Wang, Zhikai Yang, Lixu Gu

Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted Image

Chaoxing Huang, Yurui Qian, Jian Hou, Baiyan Jiang, Queenie Chan

Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer

Dewei Hu, Hao Li, Han Liu, Ipek Oguz

CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging

Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang

Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks

Timo Horstmann, Oliver Zettinig, Wolfgang Wein, Raphael Prevost

TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces

Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas Greve, Adrian V Dalca

Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans

Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng

JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection

Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang

Transformer-based out-of-distribution detection for clinically safe segmentation

Mark S Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U-King-Im

i3Deep: Efficient 3D interactive segmentation with the nnU-Net

Karol Gotkowski, Camila Gonzalez, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher

Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups

Lucy Godson, Navid Alemi, Jérémie Nsengimana, Graham P. Cook, Emily L. Clarke

Practical uncertainty quantification for brain tumor segmentation

Moritz Fuchs, Camila Gonzalez, Anirban Mukhopadhyay

Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI

Joshua Durso-Finley, Jean-Pierre Falet, Brennan Nichyporuk, Arnold Douglas, Tal Arbel

Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data

Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni

Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies

Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction

Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling

Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger

Single Dynamic Network for Multi-label Renal Pathology Image Segmentation

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun and Yang

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis

Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson

SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG

Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed

Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation

Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso

TorchXRayVision: A library of chest X-ray datasets and models

Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian

Automatic planning of liver tumor thermal ablation using deep reinforcement learning

Krishna Chaitanya, Chloé Audigier, Laura Elena Balascuta, Tommaso Mansi

Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence

João BS Carvalho, João Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M Buhmann

Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation

Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne

Domain adaptation through anatomical constraints for 3d human pose estimation under the cover

Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P Heinrich

Position Regression for Unsupervised Anomaly Detection

Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin

Bridging the Gap: Point Clouds for Merging Neurons in Connectomics

Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu

Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays

Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon

Negative Evidence Matters in Interpretable Histology Image Classification

Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luck McCaffrey, Eric Granger

Learning to Automatically Generate Accurate ECG Captions

Mathieu G. G. Bartels, Ivona Najdenkoska, Rutger R van de Leur, Arjan Sammani, Karim Taha

On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction

Tim Bakker, Matthew Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda

SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities

Reza Azad, Nika Khosravi, Dorit Merhof

ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation

Muhammad Asad, Lucas Fidon, Tom Vercauteren

Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions

Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Bjoern Menze, Stefan Zachow

Explainability Guided COVID-19 Detection in CT Scans

Ameen Ali, Tal Shaharabany, Lior Wolf