Hello, my name is
Shubham Innani
And I'm a

About me

I’m Shubham and I'm a

Research Analyst in the Division of Computational Pathology engaged in pioneering research with focus on development of computational algorithms . My primary focus centers on driving advancements in digital pathology, seamlessly integrating technology and healthcare. My research interest currently focuses in the exploration of histopathological images driving advancements in interpretability, survival prediction, and biomarker identification. Through my dedicated efforts, I contribute significantly to advancing our understanding of complex medical data, paving the way for innovative solutions in the field of medical imaging. With an academic foundation and a keen eye for emerging trends, my commitment to pushing the boundaries of computational pathology exemplifies a forward-thinking approach that promises to shape the future landscape of medical research.

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Publications & Projects

Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment.
Semantic scene segmentation in unstructured environment with modified DeepLabV3+
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.
Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis International Conference on Computer Vision and Image Processing, 2022 (In Press)
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment
The 1st Agriculture-Vision Challenge: Methods and Results
Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network. (Accepted)

My skills

My creative skills & experiences.

I have worked with a range of different languages and frameworks and I am always looking for opportunities to work with something new. The things that I currently have the most experience working with are: Deep Learning, Computer Vision, Medical Imaging, Tensorflow, Pytorch, Git and Python.

Tensorflow 70%
PyTorch 50%
Python 60%
HTML 50%
Git 75%

Awards

1st Prize in Semantic Segmentation Challenge on IDD lite dataset organized at National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG),India, by IIIT Hyderabad, India and Intel, India.

Travel Grant awarded to attend National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

Participated in AutoNUE Workshop Challenge organized at International Conference on Computer Vision (ICCV), Korea.

Poster Presentation at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Agriculture Vision Workshop.

Participated in Agriculture Vision Prize Challenge at Computer Vision and Pattern Recognition (CVPR).

Participated in Age Related Macular Degeneration(AMD) challenge at IEEE International Symposium on Biomedical Imaging (ISBI) and ranked in top 10.

Participated in Retinal Fundus Glaucoma Challenge Edition2 (REFUGE2) challenge at MICCAI, ranked in top 10.

2nd Prize in Semantic Segmentation Challenge on IDD dataset organized at Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) at IIT Jodhpur, by IIIT Hyderabad, and Intel, India.

Contact me

Get in Touch
Name
Shubham Innani
Address
Philadelphia, Pennsylvania
Email
shubham.innani@gmail.com
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