MEDICAL IMAGING MEETS NeurIPS

Saturday, December 8th - Palais des Congrès de Montréal, Canada

Schedule (Room 513 ABC)

Morning Session

08:45 AM WelcomeEnder Konukoglu, Ben Glocker, Hervé Lombaert, Marleen de Bruijne

09:00 AM Keynote I – Making the case for using more inductive bias in deep learning – Max Welling

09:45 AM Keynote II – The U-net does its job – so what next? – Olaf Ronneberger

10:30 AM Coffee Break

11:00 AM Oral Session I – Image Reconstruction


  • 11:00 – Task adapted reconstruction for inverse problems – Jonas Adler, Sebastian A Lunz, Olivier Verdier, Carola B Schoenlieb, Ozan Öktem
  • 11:20 – Compressed Sensing Recovery of Medical Images using Deep Image Prior – David Van Veen, Ajil Jalal, Eric Price, Sriram Vishwanath, Alex Dimakis
  • 11:40 – Multi-Channel MR Image Reconstruction with Unsupervised Learning of Latent Coils – Joseph Cheng, John Pauly, Shreyas Vasanawala

12:00 PM Lunch Break

Afternoon Session

1:00 PM Keynote III – Tackling the challenges of next generation healthcare – Holger Roth

01:45 PM Oral Session II – Image Processing


  • 01:45 – Full Volumetric Brain Tissue Segmentation in Non-contrast CT using Memory Efficient Convolutional LSTMs – Sil C. van de Leemput, Ajay Patel, Rashindra Manniesing
  • 02:05 – Improved Probabilistic Diffeomorphic Registration with CNNs – Adrian V Dalca, Guha Balakrishnan, John Guttag, Mert Sabuncu
  • 02:25 – Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data – Karthik Gopinath, Christian Desrosiers, Herve Lombaert

02:45 PM Poster Session All accepted contributions

04:15 PM Keynote IV – Is your machine learning method solving a real clinical problem? – Tal Arbel

05:00 PM Oral Session III – Disease Prediction


  • 05:00 – Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network – Nathaniel Braman, Beymer, Ehsan Marvasti
  • 05:20 – Prediction of Progression in Multiple Sclerosis PatientsAdrian Tousignant, Doina Precup, Tal Arbel
  • 05:40 – Estimating Uncertainty in Neural Networks for Segmentation Quality Control – Matthew Ng, Fumin Guo, LaBonny Biswas, Graham Wright

06:00 PM ClosingEnder Konukoglu, Ben Glocker, Hervé Lombaert, Marleen de Bruijne