1 code implementation • 2 Oct 2023 • Shawn Mathew, Saad Nadeem, Alvin C. Goh, Arie Kaufman
In this paper, we present a lightweight solution with a tunable temporal parameter, RT-GAN (Recurrent Temporal GAN), for adding temporal consistency to individual frame-based approaches that reduces training requirements by a factor of 5.
1 code implementation • 25 May 2023 • Parmida Ghahremani, Joseph Marino, Juan Hernandez-Prera, Janis V. de la Iglesia, Robbert JC Slebos, Christine H. Chung, Saad Nadeem
We introduce a new AI-ready computational pathology dataset containing restained and co-registered digitized images from eight head-and-neck squamous cell carcinoma patients.
2 code implementations • 26 Jan 2023 • Donghoon Lee, Ellen Yorke, Masoud Zarepisheh, Saad Nadeem, Yu-Chi Hu
The predicted respiratory patterns, represented by time-varying displacement vector fields (DVFs) at different breathing phases, are modulated through auxiliary inputs of 1D breathing traces so that a larger amplitude in the trace results in more significant predicted deformation.
1 code implementation • 14 Nov 2022 • Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Alvin C. Goh, Stefano Soatto, Saad Nadeem
Our method achieves the state-of-the-art performance on several publicly available breast cancer datasets ranging from tumor classification (CAMELYON17) and subtyping (BRACS) to HER2 status classification and treatment response prediction.
1 code implementation • 7 Jul 2022 • Gourav Jhanwar, Navdeep Dahiya, Parmida Ghahremani, Masoud Zarepisheh, Saad Nadeem
Model with (MAE + Moment) loss function outperformed the model with MAE loss by significantly improving the DVH-score (11%, p$<$0. 01) while having similar computational cost.
1 code implementation • 29 Jun 2022 • Wookjin Choi, Navdeep Dahiya, Saad Nadeem
Spiculations/lobulations, sharp/curved spikes on the surface of lung nodules, are good predictors of lung cancer malignancy and hence, are routinely assessed and reported by radiologists as part of the standardized Lung-RADS clinical scoring criteria.
1 code implementation • 29 Jun 2022 • Shawn Mathew, Saad Nadeem, Arie Kaufman
Automated analysis of optical colonoscopy (OC) video frames (to assist endoscopists during OC) is challenging due to variations in color, lighting, texture, and specular reflections.
1 code implementation • CVPR 2022 • Parmida Ghahremani, Joseph Marino, Ricardo Dodds, Saad Nadeem
In the clinic, resected tissue samples are stained with Hematoxylin-and-Eosin (H&E) and/or Immunhistochemistry (IHC) stains and presented to the pathologists on glass slides or as digital scans for diagnosis and assessment of disease progression.
1 code implementation • 23 Jun 2021 • Shawn Mathew, Saad Nadeem, Arie Kaufman
Haustral folds are colon wall protrusions implicated for high polyp miss rate during optical colonoscopy procedures.
no code implementations • 16 Jun 2021 • Donghoon Lee, Sadegh R Alam, Jue Jiang, Pengpeng Zhang, Saad Nadeem, Yu-Chi Hu
Purpose: Radiotherapy presents unique challenges and clinical requirements for longitudinal tumor and organ-at-risk (OAR) prediction during treatment.
no code implementations • 7 Jun 2021 • Navdeep Dahiya, Gourav Jhanwar, Anthony Yezzi, Masoud Zarepisheh, Saad Nadeem
Moreover, any changes in the clinical criteria requires a new set of manually generated plans by planners to build a new prediction model.
1 code implementation • 9 Mar 2021 • Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang, Si-Yuan Zhang, Anthony Yezzi, Saad Nadeem
Treatment planning is done once at the beginning of the treatment using high-quality planning CT (pCT) images and manual contours for organs-at-risk (OARs) structures.
1 code implementation • 18 Jan 2021 • Shawn Mathew, Saad Nadeem, Arie Kaufman
This shared latent space captures the geometric information while deferring the color, texture, and specular information creation to additional Gaussian noise input.
no code implementations • 28 Jun 2020 • Sadegh R Alam, Tianfang Li, Pengpeng Zhang, Si-Yuan Zhang, Saad Nadeem
Automated segmentation of esophagus is critical in image guided/adaptive radiotherapy of lung cancer to minimize radiation-induced toxicities such as acute esophagitis.
no code implementations • 25 Jun 2020 • Saad Nadeem, Travis Hollmann, Allen Tannenbaum
Variations in hematoxylin and eosin (H&E) stained images (due to clinical lab protocols, scanners, etc) directly impact the quality and accuracy of clinical diagnosis, and hence it is important to control for these variations for a reliable diagnosis.
1 code implementation • 27 Mar 2020 • Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie Kaufman
In this paper, we present a deep learning framework, Extended and Directional CycleGAN, for lossy unpaired image-to-image translation between OC and VC to augment OC video sequences with scale-consistent depth information from VC, and augment VC with patient-specific textures, color and specular highlights from OC (e. g, for realistic polyp synthesis).
no code implementations • 21 Oct 2018 • Saad Nadeem, Arie Kaufman
We present a visualization framework for annotating and comparing colonoscopy videos, where these annotations can then be used for semi-automatic report generation at the end of the procedure.
no code implementations • 21 Oct 2018 • Ji Hwan Park, Saad Nadeem, Seyedkoosha Mirhosseini, Arie Kaufman
In particular, C$^2$A is used to analyze and explore crowd responses on video segments, created from fly-throughs in the virtual colon.
no code implementations • 20 Oct 2018 • Saad Nadeem, Joseph Marino, Xianfeng GU, Arie Kaufman
The use of Fiedler vectors and the segmented folds presents a precise way of visualizing corresponding regions across datasets and visual modalities.
no code implementations • 11 Oct 2018 • Shreeraj Jadhav, Saad Nadeem, Arie Kaufman
We then perform an exhaustive clustering of these super-voxels using a graph-based clustering method.
no code implementations • 17 Sep 2018 • Liang Shen, Dengming Zhu, Saad Nadeem, Zhaoqi Wang, Arie Kaufman
The approach includes an economical data capture technique using inexpensive CCD cameras.
no code implementations • 17 Sep 2018 • Saeed Boorboor, Saad Nadeem, Ji Hwan Park, Kevin Baker, Arie Kaufman
More specifically, a complete workflow is introduced which can help maximize the sensitivity of lung nodule detection by utilizing the collective intelligence of the crowd.
no code implementations • 17 Sep 2018 • Ji Hwan Park, Saad Nadeem, Joseph Marino, Kevin Baker, Matthew Barish, Arie Kaufman
Virtual colonoscopy (VC) allows a radiologist to navigate through a 3D colon model reconstructed from a computed tomography scan of the abdomen, looking for polyps, the precursors of colon cancer.
no code implementations • 17 Sep 2018 • Saad Nadeem, Xianfeng GU, Arie Kaufman
In this paper, we present a shape-preserving local mapping technique for resolving occlusions locally while preserving the overall geometric context.
1 code implementation • 24 Aug 2018 • Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen Tannenbaum, Wei Lu
The spiculation quantification measures was then applied to the radiomics framework for pathological malignancy prediction with reproducible semi-automatic segmentation of nodule.
no code implementations • 24 Aug 2018 • Rena Elkin, Saad Nadeem, Eldad Haber, Klara Steklova, Hedok Lee, Helene Benveniste, Allen Tannenbaum
The glymphatic system (GS) is a transit passage that facilitates brain metabolic waste removal and its dysfunction has been associated with neurodegenerative diseases such as Alzheimer's disease.
no code implementations • 24 Aug 2018 • Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
Quantification of local metabolic tumor volume (MTV) chan-ges after Chemo-radiotherapy would allow accurate tumor response evaluation.
no code implementations • 5 Sep 2016 • Saad Nadeem, Arie Kaufman
We present a computer-aided detection algorithm for polyps in optical colonoscopy images.