MIDL 2023 Conference Submissions

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
- Published: 04 Apr 2023, Last Modified: 24 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images
Janmesh Ukey, Shireen Elhabian
- Published: 04 Apr 2023, Last Modified: 30 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
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
- Published: 04 Apr 2023, Last Modified: 10 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
GeoLS: Geodesic Label Smoothing for Image Segmentation
Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert
- Published: 04 Apr 2023, Last Modified: 29 Apr 2023
- MIDL 2023 Oral
- Readers: Everyone
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling
Tin Vlašić, Tomislav Matulić, Damir Seršić
- Published: 04 Apr 2023, Last Modified: 13 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
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, Mart van Rijthoven, Lieke van der Woude, Michel van den Heuvel, Willemijn Theelen, Jeroen van der Laak, Francesco Ciompi
- Published: 04 Apr 2023, Last Modified: 01 May 2023
- MIDL 2023 Poster
- Readers: Everyone
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images
Yanru Chen, Michael T Lu, Vineet K Raghu
- Published: 04 Apr 2023, Last Modified: 29 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
Rogier Van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, Akshay S Chaudhari
- Published: 04 Apr 2023, Last Modified: 14 Apr 2024
- MIDL 2023 Oral
- Readers: Everyone
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction
Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Said Ladjal
- Published: 04 Apr 2023, Last Modified: 27 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging
Yuanyuan Wei, Roger Tam, Xiaoying Tang
- Published: 04 Apr 2023, Last Modified: 14 Apr 2024
- MIDL 2023 Oral
- Readers: Everyone
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
- Published: 04 Apr 2023, Last Modified: 13 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs
Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya
- Published: 04 Apr 2023, Last Modified: 29 Apr 2023
- MIDL 2023 Oral
- Readers: Everyone
Domain adaptation using optimal transport for invariant learning using histopathology datasets
Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh
- Published: 04 Apr 2023, Last Modified: 14 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
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
- Published: 04 Apr 2023, Last Modified: 14 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
Divyam Madaan, Daniel Sodickson, Kyunghyun Cho, Sumit Chopra
- Published: 04 Apr 2023, Last Modified: 30 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space
Molin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson
- Published: 04 Apr 2023, Last Modified: 17 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
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, Hua Han
- Published: 04 Apr 2023, Last Modified: 01 May 2023
- MIDL 2023 Poster
- Readers: Everyone
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, Jiebo Luo
- Published: 04 Apr 2023, Last Modified: 16 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
FUSQA: Fetal Ultrasound Segmentation Quality Assessment
Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub
- Published: 04 Apr 2023, Last Modified: 30 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
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
- Published: 04 Apr 2023, Last Modified: 11 Apr 2023
- MIDL 2023 Oral
- Readers: Everyone
Frozen Language Model Helps ECG Zero-Shot Learning
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
- Published: 04 Apr 2023, Last Modified: 08 Apr 2023
- MIDL 2023 Oral
- Readers: Everyone
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab
- Published: 04 Apr 2023, Last Modified: 30 Apr 2023
- MIDL 2023 Oral
- Readers: Everyone
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge
- Published: 04 Apr 2023, Last Modified: 14 Apr 2024
- MIDL 2023 Poster
- Readers: Everyone
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, Nanna Maria Sijtsema
- Published: 04 Apr 2023, Last Modified: 28 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu, RAO FU, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu
- Published: 04 Apr 2023, Last Modified: 14 Apr 2024
- MIDL 2023 Poster
- Readers: Everyone