Search Results for author: Sharib Ali

Found 24 papers, 7 papers with code

Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion

no code implementations9 Nov 2021 Juan Carlos Angeles-Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali

While accurate tracking of surgical instruments in real-time plays a crucial role in minimally invasive computer-assisted surgeries, it is a challenging task to achieve, mainly due to 1) complex surgical environment, and 2) model design with both optimal accuracy and speed.

Data Augmentation Real-time Instance Segmentation +1

EndoUDA: A modality independent segmentation approach for endoscopy imaging

no code implementations12 Jul 2021 Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher

While, today most segmentation approaches are supervised and only concentrated on a single modality dataset, this work exploits to use a target-independent unsupervised domain adaptation (UDA) technique that is capable to generalize to an unseen target modality.

Unsupervised Domain Adaptation

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy

no code implementations5 Jul 2021 Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen

Minimally invasive surgery is a surgical intervention used to examine the organs inside the abdomen and has been widely used due to its effectiveness over open surgery.

Few-shot segmentation of medical images based on meta-learning with implicit gradients

no code implementations6 Jun 2021 Rabindra Khadga, Debesh Jha, Sharib Ali, Steven Hicks, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen

Classical supervised methods commonly used often suffer from the requirement of an abudant number of training samples and are unable to generalize on unseen datasets.

Few-Shot Learning Medical Image Segmentation

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

1 code implementation22 Apr 2021 Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen

To utilize automated methods in clinical settings, it is crucial to design lightweight models with low latency such that they can be integrated with low-end endoscope hardware devices.

Colorectal Polyps Characterization Instrument Recognition +3

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

no code implementations31 Mar 2021 Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali

With the increase in available large clinical and experimental datasets, there has been substantial amount of work being done on addressing the challenges in the area of biomedical image analysis.

Medical Image Segmentation

Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures

no code implementations30 Mar 2021 Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali

Image-based tracking of laparoscopic instruments plays a fundamental role in computer and robotic-assisted surgeries by aiding surgeons and increasing patient safety.

Real-time Instance Segmentation Semantic Segmentation

Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images

no code implementations23 Mar 2020 Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher

In this work, we propose to use a few-shot learning approach that requires less training data and can be used to predict label classes of test samples from an unseen dataset.

Few-Shot Learning

Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping

no code implementations16 Aug 2019 Sharib Ali, Jens Rittscher

To address this problem, we propose a novel approach of learning a continuous warp of the source image.

Image Registration

Ink removal from histopathology whole slide images by combining classification, detection and image generation models

1 code implementation10 May 2019 Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher

Removal of marker ink from these high-resolution whole slide images is non-trivial and complex problem as they contaminate different regions and in an inconsistent manner.

General Classification Image Generation +1

A deep learning framework for quality assessment and restoration in video endoscopy

no code implementations15 Apr 2019 Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James East, Xin Lu, Jens Rittscher

Given the widespread use of endoscopy in different clinical applications, we contend that the robust and reliable identification of such artifacts and the automated restoration of corrupted video frames is a fundamental medical imaging problem.

Deblurring Image Restoration

Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data

no code implementations29 Jul 2018 Sharib Ali, Martin Schober, Philipp Schlöme, Katrin Amunts, Markus Axer, Karl Rohr

We introduce a new method for registration and 3D reconstruction of high- and ultra-high resolution (64 $\mu$m and 1. 3 $\mu$m pixel size) histological images of a Wistar rat brain acquired by 3D polarized light imaging (3D-PLI).

3D Reconstruction

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