Seyed‐Ahmad Ahmadi

Boston University — United States

Computer Science · Physical Sciences

26h-index4.4kcitations100works4.72yr avg
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Research Topics

Medical Image Segmentation Techniques(17), Medical Imaging and Analysis(13), AI in cancer detection(12), Vestibular and auditory disorders(11), Neurological disorders and treatments(11)

Publications99 total

3DeepVOG: An Open-Source Framework for Real-Time, Accurate 3D Gaze Tracking with Deep Learning
2025Open Access
Standardized research methods to improve gender-affirming surgical outcomes
International Journal of Transgender Health·2025· 1 cited
MReye-Seg: development and validation of an automated MRI pipeline for standardised ocular and orbital morphometrics
Eye·2025· 2 citedOpen Access
Kajian Spesifikasi dan Biaya Konstruksi Bronjong untuk Perencanaan Proyek Normalisasi Saluran di Desa Pucangan Kabupaten Tuban
KERN Jurnal Ilmiah Teknik Sipil·2025Open Access
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
ArXiv.org·2025Open Access
Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network
2023· 6 cited
In-vivo observations on structural aging of the inner ear – a two-center study
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2023
Open-source skull reconstruction with MONAI
SoftwareX·2023· 3 citedOpen Access
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Medical Image Analysis·2023· 8 cited
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation
arXiv (Cornell University)·2023· 2 citedOpen Access
Training $$\beta $$-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Lecture notes in computer science·2023· 1 cited
Open-Source Skull Reconstruction with MONAI
arXiv (Cornell University)·2022· 1 citedOpen Access
ToxNet: an artificial intelligence designed for decision support for toxin prediction
Clinical Toxicology·2022· 9 citedOpen Access
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
arXiv (Cornell University)·2022· 1 citedOpen Access
IE-Vnet: Deep Learning-Based Segmentation of the Inner Ear's Total Fluid Space
Frontiers in Neurology·2022· 14 citedOpen Access
Differentiable Graph Module (DGM) for Graph Convolutional Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence·2022· 117 citedOpen Access
Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data
NeuroImage·2022· 9 citedOpen Access
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
arXiv (Cornell University)·2022Open Access
Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data
2022Open Access
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer
Radiation Oncology·2022· 46 citedOpen Access
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Frequent Co-authors

Nassir Navab(30), Annika Plate(10), Kai Bötzel(10), Gerome Vivar(10), Fausto Milletarì(9), Anees Kazi(8), Verena Rozanski(6), Birgit Ertl‐Wagner(6), Hendrik Burwinkel(6), Patrick Ferdinand Christ(5), Florian Ettlinger(5), Bjoern Menze(5), Johannes Levin(4), Olaf Dietrich(4), Felix Grün(4), Sebastian J. Schlecht(4), Luca Cosmo(4), Michael M. Bronstein(4), Marianne Dieterich(4), Christine Kroll(3)