Amaan Valiuddin

PhD student, Eindhoven University of Technology

Joined

May 2022

Names

Amaan Valiuddin (Preferred)

Emails

****@gmail.com (Confirmed)

****@tue.nl (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Eindhoven University of Technology (tue.nl)

2022 – 2026

Advisors, Relations & Conflicts

PhD Advisor

Fons van der Sommen

2022 – 2026

PhD Advisor

Ruud J.G. van Sloun

2022 – 2026

Coworker

Christiaan Viviers

2022 – 2026

PhD Advisor

Peter H. N. de With

2022 – 2026

Expertise

No areas of expertise listed

Publications

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Lemar Abdi, Francisco Caetano, Amaan Valiuddin, Christiaan Viviers, hamdi joudeh, Fons van der Sommen
- MICCAI 2025 Workshop UNSURE Submission
- Readers: Everyone
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
Amaan Valiuddin, Ruud Van Sloun, Christiaan Viviers, Peter H.N. de With, Fons van der Sommen
- Accepted by TMLR
- Readers: Everyone
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Christiaan Viviers, Fons van der Sommen, Peter H.N. de With, Amaan Valiuddin
- ICCV 2023
- Readers: Everyone
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Christiaan Viviers, Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Peter H.N. de With, Fons van der Sommen
- ECCV UNCV 2024
- Readers: Everyone
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
Lemar Abdi, Amaan Valiuddin, Christiaan Viviers, Peter H.N. de With, Fons van der Sommen
- MICCAI 2024 Workshop UNSURE Submission
- Readers: Everyone
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
- 2022 (modified: 26 Oct 2022)
- CaPTion@MICCAI 2022
- Readers: Everyone
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
- 2021 (modified: 26 Oct 2022)
- UNSURE/PIPPI@MICCAI 2021
- Readers: Everyone

Amaan Valiuddin

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation

Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma

Can Your Generative Model Detect Out-of-Distribution Covariate Shift?

Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows

Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows

Co-Authors