MIDL 2018 Conference Submissions

Deep Annotated Learning, Harmonic Descriptors and Automated Diabetic Retinopathy Detection
Jocelyn Desbiens, Sunil Gupta, Jonathan Stevenson, Allan Alderman, Anusua Trivedi, Patrick Buehler
- 09 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Towards Deep Cellular Phenotyping in Placental Histology
Michael Ferlaino, Craig A. Glastonbury, Carolina Motta-Mejia, Manu Vatish, Ingrid Granne, Stephen Kennedy, Cecilia M. Lindgren, Christoffer Nellaker
- Published: 11 Jul 2022, Last Modified: 03 Nov 2024
- MIDL 2018 Poster
- Readers: Everyone
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Xiaoran Chen, Ender Konukoglu
- Published: 11 Jul 2022, Last Modified: 03 Nov 2024
- MIDL 2018 Poster
- Readers: Everyone
Hierarchical Approach for Breast Cancer Histopathology Images Classification
Nidhi Ranjan, Pranav Vinod Machingal, Sunil Sri Datta Jammalmadka, Veena Thenaknidiyoor, and A. D. Dileep
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Fully Automatic Segmentation of Sphenoid Sinus in CT Images with 3D Convolutional Neural Networks
Kamal Souadih, Ahror Belaid, Douraied Ben Salem
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Poster
- Readers: Everyone
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
- Published: 11 Jul 2022, Last Modified: 03 Nov 2024
- MIDL 2018 Poster
- Readers: Everyone
The Detection of Implanted Radioactive Seeds On Ultrasound Images Using Convolution Neural Networks
Edward J. Holupka, Ph.D., John Rossman, M.S., Tye Morancy, M.S., Joseph Aronovitz, M.D., Ph.D., Irving D. Kaplan
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Recurrent Inference Machines for Accelerated MRI Reconstruction
Kai Lønning, Patrick Putzky, Matthan W. A. Caan, Max Welling
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Oral
- Readers: Everyone
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gozde Unal
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Poster
- Readers: Everyone
Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation
Yongchan Kwon, Joong-Ho Won, Beom Joon Kim, Myunghee Cho Paik
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Oral
- Readers: Everyone
Semi-Supervised Reinforced Active Learning for Pulmonary Nodule Detection in Chest X-rays
Sejin Park, Woochan Hwang, Kyu-Hwan Jung
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Poster
- Readers: Everyone
Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Poster
- Readers: Everyone
Morphological Detection Of Helicobector Pyloric Organisms On Gastric Mucosa Using Deep Learning Of The Artificial Intelligence
Shuanlong Che, Chao Li, Pifu Luo, Longsen Chen
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Optimisation of a convolutional neural network to segment the first trimester placenta from 3D ultrasound scans
Pádraig Looney, Gordon N. Stevenson, Kypros H. Nicolaides, Walter Plasencia, Malid Molloholli, Stavros Natsis, Sally Collins
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Cervical Cytology Intelligent Diagnosis Based On Object Detection Technology
Xu Meiquan, Zeng Weixiu, Sun Yanhua, Wu Junhui, Wu Tingting, Yang Yajie, Zhang Meng, Zhu Zeji, Chen Longsen
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection
Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative
Felix Ambellan, Alexander Tack, Moritz Ehlke, Stefan Zachow
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Oral
- Readers: Everyone
Histopathology Stain-Color Normalization Using Deep Generative Models
Farhad G. Zanjani, Svitlana Zinger, Babak E. Bejnordi, Jeroen AWM van der Laak, Peter H.N. de With
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Poster
- Readers: Everyone
Predictive Image Regression for Longitudinal Studies with Missing Data
Sharmin Pathan, Yi Hong
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Poster
- Readers: Everyone
Brain MRI super-resolution using 3D generative adversarial networks
Irina Sanchez, Veronica Vilaplana
- Published: 11 Jul 2022, Last Modified: 03 Nov 2024
- MIDL 2018 Poster
- Readers: Everyone
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval
Yu-An Chung, Wei-Hung Weng
- 11 Apr 2018 (modified: 05 May 2023)
- Submitted to MIDL 2018
- Readers: Everyone
Motion Estimation in Coronary CT Angiography Images using Convolutional Neural Networks
Tanja Elss, Hannes Nickisch, Tobias Wissel, Rolf Bippus, Michael Morlock, Michael Grass
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Poster
- Readers: Everyone
Robust training of recurrent neural networks to handle missing data for disease progression modeling
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin, Lauge Sørensen
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- MIDL 2018 Oral
- Readers: Everyone