no code implementations • NAACL 2022 • Luyao Shi, Tanveer Syeda-Mahmood, Tyler Baldwin
However, these methods still lack semantic understanding of the underlying clinical conditions as well as ruled out findings, resulting in poor precision during retrieval.
no code implementations • 2 Dec 2024 • Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer Syeda-Mahmood
Several evaluation metrics have been developed recently to automatically assess the quality of generative AI reports for chest radiographs based only on textual information using lexical, semantic, or clinical named entity recognition methods.
no code implementations • 24 Sep 2024 • Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
Content-addressable memories such as Modern Hopfield Networks (MHN) have been studied as mathematical models of auto-association and storage/retrieval in the human declarative memory, yet their practical use for large-scale content storage faces challenges.
no code implementations • 21 Nov 2023 • Ken C. L. Wong, Levente Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer Syeda-Mahmood
To study the use of CNNs on SOC remote sensing, here we propose the FNO-DenseNet based on the Fourier neural operator (FNO).
no code implementations • 4 Nov 2023 • Elisa Warner, Joonsang Lee, William Hsu, Tanveer Syeda-Mahmood, Charles Kahn, Olivier Gevaert, Arvind Rao
Machine learning (ML) applications in medical artificial intelligence (AI) systems have shifted from traditional and statistical methods to increasing application of deep learning models.
1 code implementation • 5 Oct 2023 • Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
With the introduction of Transformers, different attention-based models have been proposed for image segmentation with promising results.
1 code implementation • 5 Oct 2023 • Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
Due to the computational complexity of 3D medical image segmentation, training with downsampled images is a common remedy for out-of-memory errors in deep learning.
no code implementations • 13 Jul 2023 • Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest Boyko, Tanveer Syeda-Mahmood
With the emergence of multimodal electronic health records, the evidence for an outcome may be captured across multiple modalities ranging from clinical to imaging and genomic data.
no code implementations • 25 Feb 2023 • Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer Syeda-Mahmood
Visual Question Answering (VQA) becomes one of the most active research problems in the medical imaging domain.
no code implementations • 7 Jan 2023 • Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer Syeda-Mahmood, Alejandro F Frangi
Here, we propose a new framework for gene discovery entitled Unsupervised Phenotype Ensembles (UPE).
no code implementations • 18 Nov 2022 • Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi
Residual flow into the sac after the intervention is a failure that could be due to the use of an undersized device, or to vascular anatomy and clinical condition of the patient.
no code implementations • 25 Oct 2022 • Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest Boyko, Tanveer Syeda-Mahmood
All these nuances make simple methods of early, late, or intermediate fusion of features inadequate for outcome prediction.
no code implementations • 19 Apr 2022 • Neha Srivathsa, Razi Mahmood, Tanveer Syeda-Mahmood
In this paper, we present a new spatially preserving deep learning network that preserves location and shape information through auto-encoding of feature maps during flattening.
no code implementations • 10 Dec 2021 • Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer Syeda-Mahmood
Global warming leads to the increase in frequency and intensity of climate extremes that cause tremendous loss of lives and property.
1 code implementation • 27 Nov 2021 • Vaishnavi Subramanian, Tanveer Syeda-Mahmood, Minh N. Do
We propose a two-stage prediction pipeline using pCCA embeddings generated with deflation for latent variable prediction by combining all the above.
no code implementations • 23 Mar 2021 • Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer Syeda-Mahmood
Congenital heart disease (CHD) is the most common congenital abnormality associated with birth defects in the United States.
1 code implementation • 9 Mar 2021 • Vaishnavi Subramanian, Tanveer Syeda-Mahmood, Minh N. Do
Effective understanding of a disease such as cancer requires fusing multiple sources of information captured across physical scales by multimodal data.
no code implementations • 18 Nov 2020 • Tanveer Syeda-Mahmood, K. C. L Wong, Joy T. Wu, M. D., M. P. H, Ashutosh Jadhav, Ph. D, Orest Boyko, M. D. Ph. D
Chest radiographs are the most common diagnostic exam in emergency rooms and intensive care units today.
no code implementations • 13 Sep 2020 • Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana Mukherjee, Tanveer Syeda-Mahmood
Due to advances in machine learning and artificial intelligence (AI), a new role is emerging for machines as intelligent assistants to radiologists in their clinical workflows.
no code implementations • 2 Aug 2020 • Satyananda Kashyap, Alexandros Karargyris, Joy Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer Syeda-Mahmood
Deep learning has now become the de facto approach to the recognition of anomalies in medical imaging.
no code implementations • 27 Jul 2020 • Tanveer Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest Boyko, Mehdi Moradi
Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals.
no code implementations • 20 Apr 2020 • John Paul Francis, Hongzhi Wang, Kate White, Tanveer Syeda-Mahmood, Raymond Stevens
The Pancreatic beta cell is an important target in diabetes research.
1 code implementation • 5 Feb 2020 • Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood
Lung cancer has a high rate of recurrence in early-stage patients.
no code implementations • 2 Jul 2019 • Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer Syeda-Mahmood
Central venous catheters (CVCs) are commonly used in critical care settings for monitoring body functions and administering medications.
no code implementations • 21 Jun 2019 • Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer Syeda-Mahmood
We experiment with two different deep neural network architectures and show that the proposed method results in a large improvement in the performance of the classifiers, specially on negated findings.
no code implementations • 21 Jun 2019 • Tanveer Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Wei-Ting Wang, Ken C. L. Wong, Joy T. Wu
Chest X-rays are the most common diagnostic exams in emergency rooms and hospitals.
no code implementations • 2 Apr 2019 • Ken C. L. Wong, Mehdi Moradi, Joy Wu, Tanveer Syeda-Mahmood
In this work, we report a deep neural network trained for classifying CXRs with the goal of identifying a large number of normal (disease-free) images without risking the discharge of sick patients.
no code implementations • 9 Mar 2019 • Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Syeda-Mahmood
Age prediction based on appearances of different anatomies in medical images has been clinically explored for many decades.
no code implementations • 27 Dec 2018 • Marina Bendersky, Joy Wu, Tanveer Syeda-Mahmood
Data labeling is currently a time-consuming task that often requires expert knowledge.
no code implementations • 5 Sep 2018 • Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer Syeda-Mahmood
The source of big data is typically large image collections and clinical reports recorded for these images.
1 code implementation • 31 Aug 2018 • Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Syeda-Mahmood
In this paper, we propose a network architecture and the corresponding loss function which improve segmentation of very small structures.
no code implementations • 15 Aug 2018 • Ken C. L. Wong, Tanveer Syeda-Mahmood, Mehdi Moradi
Deep learning has shown promising results in medical image analysis, however, the lack of very large annotated datasets confines its full potential.
no code implementations • 7 May 2018 • Ken C. L. Wong, Alexandros Karargyris, Tanveer Syeda-Mahmood, Mehdi Moradi
We train a discriminative segmentation model only on normal images to provide a source of knowledge to be transferred to a disease detection classifier.