Канал: ImHorPhen Bio imaging research group

ENDERSCOPE Angers Demo 3

ENDERSCOPE Angers Demo 3

Leaf segmentation of seedlings using foundation models on RGB-Depth time lapse images

Leaf segmentation of seedlings using foundation models on RGB-Depth time lapse images

Fine Tune your own LLM Part 4

Fine Tune your own LLM Part 4

Fine tune your own LLM part 3

Fine tune your own LLM part 3

Fine tune your own LLM Part 2

Fine tune your own LLM Part 2

Fine tune your own LLM Part 1

Fine tune your own LLM Part 1

Webinaire Science Reproductible de l'UGA

Webinaire Science Reproductible de l'UGA

Enderscope Angers - Computational imaging

Enderscope Angers - Computational imaging

Enderscope Angers demo 2

Enderscope Angers demo 2

Enderscope Angers - Demo 1

Enderscope Angers - Demo 1

Assessment of NIS in denoising tasks

Assessment of NIS in denoising tasks

How to use Nikon NIS software to denoise image using several AI ?

How to use Nikon NIS software to denoise image using several AI ?

IA & musique SFF 2024

IA & musique SFF 2024

Tutorial itksnap

Tutorial itksnap

Panorama des bibliothèques de Deep learning

Panorama des bibliothèques de Deep learning

Toward more collaborative deep learning project management in plant phenotyping ; NAPPN 2024

Toward more collaborative deep learning project management in plant phenotyping ; NAPPN 2024

Rédaction et publication d'un data paper

Rédaction et publication d'un data paper

Mise à jour de deep modèle dans Growth Data

Mise à jour de deep modèle dans Growth Data

PHENET_INRAe_IOT

PHENET_INRAe_IOT

PHENET_UCL_IOT

PHENET_UCL_IOT

Prof. Xavier Draye, Université de Louvain, Belgium; Affordable plant phenotyping workshop 2023

Prof. Xavier Draye, Université de Louvain, Belgium; Affordable plant phenotyping workshop 2023

Prof. Congduc Pham ; Université de Pau, France ; Affordable plant phenotyping IPPN workshop 2023

Prof. Congduc Pham ; Université de Pau, France ; Affordable plant phenotyping IPPN workshop 2023

Dr. Worasit Sangjan; Washington state Univ., USA ; IPPN Affordable plant phenotyping workshop 2023

Dr. Worasit Sangjan; Washington state Univ., USA ; IPPN Affordable plant phenotyping workshop 2023

Eng. Bruno Malnar ; Hiphen, France, Affordable plant phenotyping workshop IPPN 2023

Eng. Bruno Malnar ; Hiphen, France, Affordable plant phenotyping workshop IPPN 2023

Dr. Hahdami Garbouge, Université d'Angers, France; Affordable plant phenotyping workshop 2022

Dr. Hahdami Garbouge, Université d'Angers, France; Affordable plant phenotyping workshop 2022

Dr. Si Yang ; Bonn University, Germany ; IPPN affordable plant phenotyping workshop 2022

Dr. Si Yang ; Bonn University, Germany ; IPPN affordable plant phenotyping workshop 2022

Dr. Vinicius Lube ; KAUST, South Arabia; IPPN affordable plant phenotyping workshop 2022

Dr. Vinicius Lube ; KAUST, South Arabia; IPPN affordable plant phenotyping workshop 2022

Prof Ji Zhou, Cambridge, UK ; IPPN affordable phenotyping workshop, 2022

Prof Ji Zhou, Cambridge, UK ; IPPN affordable phenotyping workshop, 2022

Dr. Elena Grosu, SETU Ireland, IPPN affordable phenotyping workshop 2022

Dr. Elena Grosu, SETU Ireland, IPPN affordable phenotyping workshop 2022

Dr. Sebastian Seitner, Vienna Biocenter, Austria, IPPN affordable phenotyping workshop 2022

Dr. Sebastian Seitner, Vienna Biocenter, Austria, IPPN affordable phenotyping workshop 2022

Dr. Hans Bethge, Leibniz University, Germany, IPPN affordable plant phenotyping workshop 2022

Dr. Hans Bethge, Leibniz University, Germany, IPPN affordable plant phenotyping workshop 2022

Module DATA CHALLENGE Master 2 Biologie Végétale 2023_24

Module DATA CHALLENGE Master 2 Biologie Végétale 2023_24

ImHorPhen Industrial Success Story 2

ImHorPhen Industrial Success Story 2

ImHorPhen Industrial Success Story 1

ImHorPhen Industrial Success Story 1

CV & ML applied to the monitoring of seedling with low-cost RGB-Depth cameras

CV & ML applied to the monitoring of seedling with low-cost RGB-Depth cameras

MANINI Napari Plugin Part 2

MANINI Napari Plugin Part 2

MANINI Napari Plugin Part 1

MANINI Napari Plugin Part 1

Fête de la Science 2023

Fête de la Science 2023

Creating and modifying a Napari widget

Creating and modifying a Napari widget

Getting started with Napari in Phenotyping

Getting started with Napari in Phenotyping

Image processing (import, query and analysis) with Knime

Image processing (import, query and analysis) with Knime

Image management (import, query and processing) with OMERO

Image management (import, query and processing) with OMERO

EUSIPCO2023

EUSIPCO2023

Affordable UAV Phenotyping with MAPEO & M3M

Affordable UAV Phenotyping with MAPEO & M3M

Lukman PhD Defense

Lukman PhD Defense

GUI Based Deep learning an overview

GUI Based Deep learning an overview

Introduction to Python part 5

Introduction to Python part 5

Introduction to Python part 3

Introduction to Python part 3

Introduction to Python Part 4

Introduction to Python Part 4

Introduction to Python part 2

Introduction to Python part 2

Introduction to Python Part 1

Introduction to Python Part 1

Vegetation indice Napari Plugin

Vegetation indice Napari Plugin

PHENOGRID

PHENOGRID

Container avec Docker

Container avec Docker

Container avec Singularity

Container avec Singularity

Ordinalysis tutorial

Ordinalysis tutorial

Acquisition d'objet 3D avec Range Vision

Acquisition d'objet 3D avec Range Vision

WEBINAR_VEGEPOLYS_2

WEBINAR_VEGEPOLYS_2

Optimisation de réseaux de neurones

Optimisation de réseaux de neurones

DEEP OBJECT DETECTION

DEEP OBJECT DETECTION

WEBINAR_VEGEPOLYS

WEBINAR_VEGEPOLYS

6th EEE IPRIA 2023 Keynote

6th EEE IPRIA 2023 Keynote

NAPPN_2023_TALK

NAPPN_2023_TALK

YOLO_TUTORIEL

YOLO_TUTORIEL

ESRF_USER_MEETING

ESRF_USER_MEETING

UNET_TUTORIEL_ENG

UNET_TUTORIEL_ENG

NIR spectro Let the data talk 3

NIR spectro Let the data talk 3

NIR spectro Let the data talk 2

NIR spectro Let the data talk 2

NIR spectro Let the data talk 1

NIR spectro Let the data talk 1

Some scientific use of ChatGPT

Some scientific use of ChatGPT

INVITE Napari Plugin

INVITE Napari Plugin

PhD defense Hadhami Garbouge

PhD defense Hadhami Garbouge

Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification

Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification

Qu'est-ce qu'une image ?

Qu'est-ce qu'une image ?

Installation de Cellpose

Installation de Cellpose

Introduction to reinforcement learning Part4

Introduction to reinforcement learning Part4

Deepaas & Napari hand in hand

Deepaas & Napari hand in hand

SITIS 2022_CAD4MED_Dijon France.

SITIS 2022_CAD4MED_Dijon France.

Hands on model classification

Hands on model classification

PhD defense Zine El Abidine Mouad 2022/10/04

PhD defense Zine El Abidine Mouad 2022/10/04

Machine and Deep Learning on the cloud: Classification

Machine and Deep Learning on the cloud: Classification

NAPARI Plugin for deep segmentation and manual correction

NAPARI Plugin for deep segmentation and manual correction

Détection de changement dans les images SAR polarimétriques hétérogènes

Détection de changement dans les images SAR polarimétriques hétérogènes

Multi-Temporal SAR Change Detection using Wavelet Transforms

Multi-Temporal SAR Change Detection using Wavelet Transforms

La plateforme à l'heure du machine/deep learning

La plateforme à l'heure du machine/deep learning

HyperParameter Tuning

HyperParameter Tuning

Introduction to reinforcement learning part 3

Introduction to reinforcement learning part 3

Introduction to reinforcement learning part 2

Introduction to reinforcement learning part 2

Self-supervision applied to plants

Self-supervision applied to plants

Introduction to reinforcement learning part 1

Introduction to reinforcement learning part 1

Introduction to Self-Supervision

Introduction to Self-Supervision

3D point Cloud annotation with Cloud Compare

3D point Cloud annotation with Cloud Compare

Intégrer un "deep model" dans plugin NAPARI

Intégrer un "deep model" dans plugin NAPARI

Installer NAPARI et faire son premier plugin

Installer NAPARI et faire son premier plugin

Qu'est-ce qu'un plugin NAPARI ?

Qu'est-ce qu'un plugin NAPARI ?

Introduction au logiciel NAPARI

Introduction au logiciel NAPARI

PHENOME_5_AVRIL_2022

PHENOME_5_AVRIL_2022

ANF Deepscopie

ANF Deepscopie

Machine-learning assisted determination of best acquisition protocols in variety testing

Machine-learning assisted determination of best acquisition protocols in variety testing

Installation party

Installation party

Focus sur les services Deep learning de l'infrastructure européenne de calcul EGI

Focus sur les services Deep learning de l'infrastructure européenne de calcul EGI

Panorama des types de ressources en calcul intensif

Panorama des types de ressources en calcul intensif

Panorama des solutions "user-friendly" de deep learning en bioimagerie

Panorama des solutions "user-friendly" de deep learning en bioimagerie

Annotation and manual correction in Ilastik

Annotation and manual correction in Ilastik

Deep learning segmentation

Deep learning segmentation

UNET demo

UNET demo

How to describe methods & results when using machine learning tools in bio imaging?

How to describe methods & results when using machine learning tools in bio imaging?

Segmentation overview

Segmentation overview

Overview on Point Cloud Neural Networks

Overview on Point Cloud Neural Networks

Machine Learning Meets Distinctness In Variety Testing

Machine Learning Meets Distinctness In Variety Testing

Nuit européenne des chercheurs 2021

Nuit européenne des chercheurs 2021

Time series analysis of Rasp-Pi image stacks

Time series analysis of Rasp-Pi image stacks

Phenotiki Lessons learned

Phenotiki Lessons learned

Tips and Experiences with imagery networks

Tips and Experiences with imagery networks

How to set up a network with Mini-computers

How to set up a network with Mini-computers

Low-power Low cost Smart Cameras

Low-power Low cost Smart Cameras

An efficient IOT data compression approach with reconstruction on the edge

An efficient IOT data compression approach with reconstruction on the edge

Camera calibration

Camera calibration

Time scales in seedling development

Time scales in seedling development

Dimension reduction for ordinal classification

Dimension reduction for ordinal classification

On the value of CTIS imagery for neural network based classification : experimental results

On the value of CTIS imagery for neural network based classification : experimental results

Data augmentation to improve deep learning performances on low-resolution imageries

Data augmentation to improve deep learning performances on low-resolution imageries

Predicting plant root growth from time-series data using GANs

Predicting plant root growth from time-series data using GANs

Seed imbibition monitoring with Fiji

Seed imbibition monitoring with Fiji

Deep learning based detection of seedling development from indoor to outdoor

Deep learning based detection of seedling development from indoor to outdoor

L'agriculture connectée de demain

L'agriculture connectée de demain

L'intelligence artificielle au service de l'efficacité énergétique des bâtiments

L'intelligence artificielle au service de l'efficacité énergétique des bâtiments

Hybridation de raisonnement pour la supervision de l'activité dans un bâtiment

Hybridation de raisonnement pour la supervision de l'activité dans un bâtiment

Growth data long version

Growth data long version

Deep learning with real world data sets

Deep learning with real world data sets

AFFECTIVE HOME

AFFECTIVE HOME

IPPN_Workshop_Adv

IPPN_Workshop_Adv

Fast time lapse analysis with Fiji

Fast time lapse analysis with Fiji

Annotation with ZOONIVERSE

Annotation with ZOONIVERSE

Data annotation trials with DATA_TORCH

Data annotation trials with DATA_TORCH

Plant Simulation with UNITY

Plant Simulation with UNITY

Annotation with LABELME and CYTOMINE

Annotation with LABELME and CYTOMINE

GROWTH DATA

GROWTH DATA

Image processing part 1

Image processing part 1

Getting started

Getting started

Introduction to phenotyping

Introduction to phenotyping

Illumination and sensors

Illumination and sensors

Hands on 1

Hands on 1

Image processing part 2

Image processing part 2

Thresholding in Fiji

Thresholding in Fiji

Hands on 4 & 5

Hands on 4 & 5

Image processing part 3

Image processing part 3

Hands on 6

Hands on 6

Hands on 7

Hands on 7

Hands on 2

Hands on 2

Hands on 3

Hands on 3

Hands on 8 & 9

Hands on 8 & 9

Hands on 10

Hands on 10

Take Home Messages

Take Home Messages

Deep features

Deep features

Efficient image annotation

Efficient image annotation

Introduction to RNN part 3

Introduction to RNN part 3

Introduction to RNN part 1

Introduction to RNN part 1

Introduction to RNN part 2

Introduction to RNN part 2

Data augmentation part 4

Data augmentation part 4

Data augmentation part 3

Data augmentation part 3

Data augmentation part 2

Data augmentation part 2

Data augmentation part 1

Data augmentation part 1

CNN Principles

CNN Principles

Easy deep learning with DeepImageJ

Easy deep learning with DeepImageJ

Introduction to ML and DL part 4

Introduction to ML and DL part 4

Introduction to ML and DL part 3

Introduction to ML and DL part 3

Introduction to ML and DL part 2

Introduction to ML and DL part 2

Introduction to ML and DL part 1

Introduction to ML and DL part 1

Basic architectures in deep learning

Basic architectures in deep learning

Easy deep learning with Knime

Easy deep learning with Knime

Easy shallow learning with Ilastik

Easy shallow learning with Ilastik

Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images

Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images

PHENOTIC platform By Tristan Boureau (4 Nov. 2020)

PHENOTIC platform By Tristan Boureau (4 Nov. 2020)

SCIAM Platform By Guillaume Mabilleau (4 Nov. 2020)

SCIAM Platform By Guillaume Mabilleau (4 Nov. 2020)

PRISM Platform By Florence Franconi (4 Nov. 2020)

PRISM Platform By Florence Franconi (4 Nov. 2020)

Deep learning software solutions (4 Nov. 2020)

Deep learning software solutions (4 Nov. 2020)

IMAC Platform By Aurelia Rolland (4 nov. 2020)

IMAC Platform By Aurelia Rolland (4 nov. 2020)

Seed imaging

Seed imaging

Fête de la science 2020

Fête de la science 2020

3D plant imaging with rotating plate

3D plant imaging with rotating plate

3D plant imaging state of the art

3D plant imaging state of the art

3D Annotated models of rosebush plants

3D Annotated models of rosebush plants

Short_visit_2

Short_visit_2

Short_visit

Short_visit

PresentationAgTechDataChallenge2018

PresentationAgTechDataChallenge2018

PlayGroundTensorFlow demo

PlayGroundTensorFlow demo

How to get started with Jupyter and Colab

How to get started with Jupyter and Colab

deep learning from scratch Make your fist experience with Tensorflow Keras PART 1

deep learning from scratch Make your fist experience with Tensorflow Keras PART 1

deep learning from scratch Make your fist experience with Tensorflow Keras PART 2

deep learning from scratch Make your fist experience with Tensorflow Keras PART 2

deep learning from scratch Make your fist experience with Tensorflow Keras PART 5

deep learning from scratch Make your fist experience with Tensorflow Keras PART 5

deep learning from scratch Make your fist experience with Tensorflow Keras PART 3

deep learning from scratch Make your fist experience with Tensorflow Keras PART 3

deep learning from scratch Make your fist experience with Tensorflow Keras PART 4

deep learning from scratch Make your fist experience with Tensorflow Keras PART 4

Spectral Imaging for Quality Evaluation of Agro food Products Part 05 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 05 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 04 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 04 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 03 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 03 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 02 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 02 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 01 default

Spectral Imaging for Quality Evaluation of Agro food Products Part 01 default

AKER Project

AKER Project

Proxi-detection - Part 5

Proxi-detection - Part 5