Talha Qaiser

Orcid: 0000-0002-5014-7399

According to our database1, Talha Qaiser authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images.
Medical Image Anal., January, 2024

2023
Knowledge Distillation in Histology Landscape by Multi-Layer Features Supervision.
IEEE J. Biomed. Health Informatics, April, 2023

Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification.
CoRR, 2023

Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images.
CoRR, 2023

Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications.
Sensors, 2022

Nucleus classification in histology images using message passing network.
Medical Image Anal., 2022

2021
Classification of COVID-19 via Homology of CT-SCAN.
CoRR, 2021

Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
Topology and attention in computational pathology.
PhD thesis, 2019

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring.
IEEE Trans. Medical Imaging, 2019

Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features.
Medical Image Anal., 2019

Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images.
CoRR, 2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018

Classification of lung cancer histology images using patch-level summary statistics.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.
CoRR, 2017

Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016
Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016


  Loading...