Jan L. Robertus

According to our database, Jan L. Robertus authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges.

Hakan Doga, M. Emre Sahin, Joao H. Bettencourt-Silva, Anh Pham, Eunyoung Kim, Alan Andress, Sudhir Saxena, Aritra Bose, Laxmi Parida, Jan Lukas Robertus, Hideaki Kawaguchi, Radwa Soliman, Daniel Blankenberg

CoRR, 2024

TIAViz: A Browser-based Visualization Tool for Computational Pathology Models.

Mark Eastwood, John Pocock, Mostafa Jahanifar, Adam Shephard, Skiros Habib, Ethar Alzaid, Abdullah Alsalemi, Jan Lukas Robertus, Nasir M. Rajpoot, Shan E Ahmed Raza, Fayyaz Minhas

CoRR, 2024

Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.

Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, Stefano Mensa

CoRR, 2024

2023

Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.

Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz Minhas, Jan Lukas Robertus

Artif. Intell. Medicine, September, 2023

MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images.

Mark Eastwood, Heba Sailem, Silviu Tudor Marc, Xiaohong Gao, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz ul Amir Afsar Minhas, Jan Lukas Robertus

CoRR, 2023

2022

Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction.

Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz A. Minhas, Jan Lukas Robertus

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

On the role of artificial intelligence in medical imaging of COVID-19.

Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi

Patterns, 2021