Zobrazeno 1 - 10
of 443
pro vyhledávání: '"Hajighasemi A"'
Autor:
Veerla, Jai Prakash, Guttikonda, Partha Sai, Hajighasemi, Amir, Saurav, Jillur Rahman, Darji, Aarti, Reynolds, Cody T., Mohamed, Mohamed, Nasr, Mohammad S., Shang, Helen H., Luber, Jacob M.
In contemporary pathology, multiplexed immunofluorescence (mIF) and multiplex immunohistochemistry (mIHC) present both significant opportunities and challenges. These methodologies shed light on intricate tumor microenvironment interactions, emphasiz
Externí odkaz:
http://arxiv.org/abs/2401.02882
Autor:
Vora, Neel R, Hajighasemi, Amir, Reynolds, Cody T., Radmehr, Amirmohammad, Mohamed, Mohamed, Saurav, Jillur Rahman, Aziz, Abdul, Veerla, Jai Prakash, Nasr, Mohammad S, Lotspeich, Hayden, Guttikonda, Partha Sai, Pham, Thuong, Darji, Aarti, Malidarreh, Parisa Boodaghi, Shang, Helen H, Harvey, Jay, Ding, Kan, Nguyen, Phuc, Luber, Jacob M
Head-based signals such as EEG, EMG, EOG, and ECG collected by wearable systems will play a pivotal role in clinical diagnosis, monitoring, and treatment of important brain disorder diseases. However, the real-time transmission of the significant cor
Externí odkaz:
http://arxiv.org/abs/2312.12587
Autor:
Shang, Helen H., Nasr, Mohammad Sadegh, Veerla, Jai Prakash, Malidarreh, Parisa Boodaghi, Saurav, MD Jillur Rahman, Hajighasemi, Amir, Huber, Manfred, Moleta, Chace, Makker, Jitin, Luber, Jacob M.
The search and retrieval of digital histopathology slides is an important task that has yet to be solved. In this case study, we investigate the clinical readiness of three state-of-the-art histopathology slide search engines, Yottixel, SISH, and Ret
Externí odkaz:
http://arxiv.org/abs/2306.17019
Autor:
Robben, Michael, Hajighasemi, Amir, Nasr, Mohammad Sadegh, Veerla, Jai Prakesh, Alsup, Anne M., Rout, Biraaj, Shang, Helen H., Fowlds, Kelli, Malidarreh, Parisa Boodaghi, Koomey, Paul, Saurav, MD Jillur Rahman, Luber, Jacob M.
Publikováno v:
F1000Research 2023, 12:1436
Artificial intelligence represents a new frontier in human medicine that could save more lives and reduce the costs, thereby increasing accessibility. As a consequence, the rate of advancement of AI in cancer medical imaging and more particularly tis
Externí odkaz:
http://arxiv.org/abs/2306.16989
Autor:
Hajighasemi, Amir, Saurav, MD Jillur Rahman, Nasr, Mohammad S, Veerla, Jai Prakash, Darji, Aarti, Malidarreh, Parisa Boodaghi, Robben, Michael, Shang, Helen H, Luber, Jacob M
We present an approach for multimodal pathology image search, using dynamic time warping (DTW) on Variational Autoencoder (VAE) latent space that is fed into a ranked choice voting scheme to retrieve multiplexed immunofluorescent imaging (mIF) that i
Externí odkaz:
http://arxiv.org/abs/2306.06780
Autor:
Nasr, Mohammad Sadegh, Hajighasemi, Amir, Koomey, Paul, Malidarreh, Parisa Boodaghi, Robben, Michael, Saurav, Jillur Rahman, Shang, Helen H., Huber, Manfred, Luber, Jacob M.
Publikováno v:
2023 IEEE ISBI, Cartagena, Colombia, 2023, pp. 1-5
In this paper, we introduce a Variational Autoencoder (VAE) based training approach that can compress and decompress cancer pathology slides at a compression ratio of 1:512, which is better than the previously reported state of the art (SOTA) in the
Externí odkaz:
http://arxiv.org/abs/2303.13332
Autor:
Fereshteh Abbasvandi, Reihane Mahdavi, Mahdis Bayat, Farzane Hajighasemi, Fahimeh Jahanbakhshi, Faeze Aghaei, Nafiseh Sami, Batoul Khoundabi, Hossein Ataee, Narges Yousefpour, Parisa Hoseinpour, Seyed Mohamad Sadegh Mousavi Kiasary, Maryam Omrani Hashemi, Fatemeh Shojaeian, Atieh Akbari, Najmeh Bagherhosseini, Afshin Moradi, Mohammad Esmaeil Akbari, Mohammad Abdolahad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Lymph node (LN) status is an essential prognostic factor in breast cancer (BC) patients, with an important role in the surgical and therapeutic plan. Recently, we have been developed a novel system for real-time intra-operative electrical LN
Externí odkaz:
https://doaj.org/article/f79cb7ea96e34e8faa45aad847c0e4f2
Autor:
Sepide Hajighasemi, Shirin Hejazian
Publikováno v:
Cubo, Vol 25, Iss 1, Pp 139-150 (2023)
Suppose $\mathfrak{B}(H)$ is the Banach algebra of all bounded linear operators on a Hilbert space $H$ with $\dim(H)\geq 3$. Let $\gamma(.)$ denote the reduced minimum modulus of an operator. We charaterize surjective maps $\varphi$ on $\mathfrak{B}(
Externí odkaz:
https://doaj.org/article/741ca1989bcc4337a80226b3bebdaf70
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