Seyed-Ahmad Ahmadi

Joined

December 2018

Names

Seyed-Ahmad Ahmadi (Preferred)

Emails

****@cs.tum.edu (Confirmed)

Personal Links

Career & Education History

Researcher

NVIDIA (nvidia.com)

2021 – 2022

Postdoc

Ludwig-Maximilians University, German Center for Vertigo and Balance Disorders (lmu.de)

2016 – 2021

Postdoc

Ludwig-Maximilians University, Department of Neurology (lmu.de)

2013 – 2016

PhD student

Technical University Munich, Computer Aided Medical Procedures (tum.de)

2008 – 2013

Advisors, Relations & Conflicts

Postdoc Advisor

Thomas Brandt

2016 – 2019

PhD Advisor

Nassir Navab

2005 – 2019

Postdoc Advisor

Kai Bötzel

2013 – 2016

Expertise

deep learning

RNN

CNN

VAE

GAN

multi-variate imaging

neuroradiology

segmentation

registration

2013 – 2022

ultrasound imaging

medical image segmentation

random forests

machine learning

2008 – 2013

surgical workflow analysis

DTW

Hidden Markov Models

2005 – 2008

Publications

Latent-graph learning for disease prediction
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
- MICCAI 2020
- Readers: Everyone
Differentiable graph module (dgm) for graph convolutional networks
Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Readers: Everyone
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab
- Medical Image Analysis
- Readers: Everyone
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation
Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab
- Published: 01 Jan 2023, Last Modified: 11 Jul 2023
- CoRR 2023
- Readers: Everyone
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
- Published: 01 Jan 2023, Last Modified: 11 Jul 2023
- IEEE Trans. Pattern Anal. Mach. Intell. 2023
- Readers: Everyone
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
- 2022 (modified: 21 Oct 2022)
- CoRR 2022
- Readers: Everyone
Open-Source Skull Reconstruction with MONAI
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
- 2022 (modified: 06 Jan 2023)
- CoRR 2022
- Readers: Everyone
Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data
Cammille C. Go, Huseyin O. Taskin, Seyed-Ahmad Ahmadi, Giulia Frazzetta, Laura Cutler, Saguna Malhotra, Jessica I. W. Morgan, Virginia L. Flanagin, Geoffrey Karl Aguirre
- Published: 01 Jan 2022, Last Modified: 11 Jul 2023
- NeuroImage 2022
- Readers: Everyone
Physics-aware learning and domain-specific loss design in ophthalmology
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Michael Trost, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
- Published: 01 Jan 2022, Last Modified: 11 Jul 2023
- Medical Image Anal. 2022
- Readers: Everyone
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
- Published: 01 Jan 2022, Last Modified: 11 Jul 2023
- CoRR 2022
- Readers: Everyone

View all 63 publications

Co-Authors

View all 164 co-authors