no code implementations • 27 May 2024 • Abdul Qayyum, Moona Mazher, Angela Lee, Jose A Solis-Lemus, Imran Razzak, Steven A Niederer
Unlike Right Atrium (RA), Left Atrium (LA) presents distinctive challenges, including much thinner myocardial walls, complex and irregular morphology, as well as diversity in individual's structure, making off-the-shelf methods designed for the Left Ventricle (LV) may not work in the context of the left atrium.
no code implementations • 27 May 2024 • Syed Javed, Tariq M. Khan, Abdul Qayyum, Arcot Sowmya, Imran Razzak
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis.
no code implementations • 23 May 2024 • Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim
The growing need for sustainable energy solutions has driven the integration of digitalized buildings into the power grid, utilizing Internet-of-Things technology to optimize building performance and energy efficiency.
no code implementations • 16 Apr 2024 • Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
Predicting legal judgments with reliable confidence is paramount for responsible legal AI applications.
no code implementations • 16 Apr 2024 • Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
The growing capabilities of AI raise questions about their trustworthiness in healthcare, particularly due to opaque decision-making and limited data availability.
no code implementations • 3 Apr 2024 • Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Tong Xie, Wenjie Zhang
The convergence of materials science and artificial intelligence has unlocked new opportunities for gathering, analyzing, and generating novel materials sourced from extensive scientific literature.
no code implementations • 8 Jan 2024 • Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
Although some approaches have attempted to address this problem through single-stage clustering as an intermediate training step coupled with a pre-trained language model, which generates pseudo-labels to improve classification, these methods are often error-prone due to the limitations of the clustering algorithms.
1 code implementation • 5 Jan 2024 • Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang
Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks.
no code implementations • 7 Sep 2023 • Tariq M. Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering
Diseases such as diabetic retinopathy and age-related macular degeneration pose a significant risk to vision, highlighting the importance of precise segmentation of retinal vessels for the tracking and diagnosis of progression.
2 code implementations • 25 Aug 2023 • Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex
To add new capabilities in natural science, enabling the acceleration and enrichment of automation of the discovery process, we present DARWIN, a series of tailored LLMs for natural science, mainly in physics, chemistry, and material science.
1 code implementation • 26 Jun 2023 • Farhan Ahmad Jafri, Mohammad Aman Siddiqui, Surendrabikram Thapa, Kritesh Rauniyar, Usman Naseem, Imran Razzak
The detection of hate speech in political discourse is a critical issue, and this becomes even more challenging in low-resource languages.
1 code implementation • 18 Jun 2023 • Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schon, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Muller, Silvan Mertes, Niklas Schroter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
STOIC2021 consisted of a Qualification phase, where participants developed challenge solutions using 2000 publicly available CT scans, and a Final phase, where participants submitted their training methodologies with which solutions were trained on CT scans of 9724 subjects.
no code implementations • 11 Jun 2023 • Asim Naveed, Syed S. Naqvi, Tariq M. Khan, Imran Razzak
Skin cancer holds the highest incidence rate among all cancers globally.
no code implementations • 9 Jun 2023 • Shahzaib Iqbal, Tariq M. Khan, Syed S. Naqvi, Muhammad Usman, Imran Razzak
The results demonstrate the robustness, generalizability, and high segmentation accuracy of LDMRes-Net, positioning it as an efficient tool for accurate and rapid medical image segmentation in diverse clinical applications, particularly on IoT and edge platforms.
no code implementations • 25 Apr 2023 • Tariq M. Khan, Syed S. Naqvi, Antonio Robles-Kelly, Imran Razzak
Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding blindness.
1 code implementation • 3 Feb 2023 • Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R G, Hrishikesh P S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunović, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) in a cost-effective manner, making glaucoma screening more accessible.
no code implementations • 13 Apr 2022 • Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed
Moreover, our analysis shows that adding noise at earlier layers improves models' performance whereas adding noise at intermediate layers deteriorates models' performance.
no code implementations • 3 Mar 2022 • Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed
The idea is to learn word representation by its surrounding words and utilize emojis in the text to help improve the classification results.
no code implementations • 22 Feb 2022 • Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Kevin Lee, Chetan Arora, Ali Hassani, Arkady Zaslavsky
Indeed, Adversarial Artificial Intelligence (AI) which refers to a set of techniques that attempt to fool machine learning models with deceptive data, is a growing threat in the AI and machine learning research community, in particular for machine-critical applications.
no code implementations • 6 Oct 2021 • Taige Zhao, XiangYu Song, JianXin Li, Wei Luo, Imran Razzak
We first propose a graph augmentation-based partition (GAD-Partition) that can divide original graph into augmented subgraphs to reduce communication by selecting and storing as few significant nodes of other processors as possible while guaranteeing the accuracy of the training.
no code implementations • 26 May 2021 • Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed
These social media platforms enable users to share information with other users who can reshare this information, thus causing this information to spread.
no code implementations • 23 May 2021 • Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
Twitter is currently a popular online social media platform which allows users to share their user-generated content.
no code implementations • 28 Oct 2020 • Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad
In this survey, we explore different word representation models and its power of expression, from the classical to modern-day state-of-the-art word representation language models (LMS).
no code implementations • 19 Sep 2020 • Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
In recent years, with the growing amount of biomedical documents, coupled with advancement in natural language processing algorithms, the research on biomedical named entity recognition (BioNER) has increased exponentially.
no code implementations • 30 Jul 2020 • Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Samuel Yang, Peter W. Eklund, Thien Huynh-The, Thanh Tam Nguyen, Quoc-Viet Pham, Imran Razzak, Edbert B. Hsu
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous success stories.
no code implementations • 3 Jul 2020 • Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu
Model interpretability has become important to engenders appropriate user trust by providing the insight into the model prediction.
no code implementations • 5 Apr 2020 • Arshia Rehman, Saeeda Naz, Imran Razzak
It promises us the power of early detection, prediction, prevention and helps us to improve the quality of life.