1 code implementation • MICCAI Workshop COMPAY 2021 • Afshin Bozorgpour, Reza Azad, Eman Showkatian, Alaa Sulaiman
On top of the cytoplasm segmentation network, we included a scale aggregation function to refine and generate a final prediction.
1 code implementation • 27 Nov 2022 • Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof
U-Net is the most widespread image segmentation architecture due to its flexibility, optimized modular design, and success in all medical image modalities.
1 code implementation • 5 Aug 2023 • Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof
Skin lesion segmentation plays a critical role in the early detection and accurate diagnosis of dermatological conditions.
Ranked #1 on Lesion Segmentation on HAM10000
2 code implementations • 25 Aug 2023 • Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof
Furthermore, to intensify the importance of the boundary information, we impose an additional attention map by creating a Gaussian pyramid on top of the HF components.
1 code implementation • 28 Oct 2023 • Bobby Azad, Reza Azad, Sania Eskandari, Afshin Bozorgpour, Amirhossein Kazerouni, Islem Rekik, Dorit Merhof
Foundation models, large-scale, pre-trained deep-learning models adapted to a wide range of downstream tasks have gained significant interest lately in various deep-learning problems undergoing a paradigm shift with the rise of these models.
1 code implementation • 21 Nov 2023 • Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof
In addition, we introduce a skeletal loss term to reinforce the model's geometric dependence on the spine.
no code implementations • 28 Dec 2023 • Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof
Medical imaging analysis has witnessed remarkable advancements even surpassing human-level performance in recent years, driven by the rapid development of advanced deep-learning algorithms.