====== Deep Learning for Image Analysis ======

Deep learning has achieved formidable results in the image analysis field in recent years, in many cases exceeding human performance. This success opens paths for new applications, entrepreneurship and research, while making the field very competitive.

This course aims at providing the students with the theoretical and practical basis for understanding and using deep learning for image analysis applications.


__Lecturers__
 
  * [[https://people.cmm.minesparis.psl.eu/users/decenciere/ | Etienne Decencière]]
  * [[https://thomaswalter.github.io/ | Thomas Walter]]
  * [[https://people.cmm.minesparis.psl.eu/~velasco | Santiago Velasco-Forero]]
  * Samy Blusseau





===== Fall 2023 edition: IASD master =====

Courses will take place at:

PariSanté Campus

2-10 rue Rue d'Oradour-sur-Glane 

75015 PARIS


Schedules and classrooms are available here:
[[https://www.lamsade.dauphine.fr/wp/iasd/wp-content/uploads/sites/9/2023/09/edt_sept_2023.pdf]]




===== Winter 2022-2023 edition: IASD master =====

Courses will take place at:


PariSanté Campus (Classroom S 0.8)

2-10 rue Rue d'Oradour-sur-Glane 75015 PARIS


According to the following schedule:

| Date  | Time  | 
| 06/01 | 13h45 |   
| 13/01 | 13h35 |   
| 20/01 | 13h45 |   
| 27/01 | 13h45 |     
| 03/02 | 13h45 |    
| 10/02 | 13h45 |    
| 17/02 | 13h45 |    
| 24/02 | 13h45 |   

The course material is available here:

https://cloud.minesparis.psl.eu/index.php/s/NHDJ89rj7zOCVDM 

===== Fall 2022 edition: Mines Paris =====


=== Timetable ===


| Date  | Time  | Classroom |
| 20/09 | 13h45 |  MDM-AB     | 
| 27/09 | 13h35 |     | 
| 04/10 | 13h45 |     | 
| 11/10 | 13h45 |       |   
| 19/10 | 13h45 |      |  
| 25/10 | 13h45 |      |  
| 02/11 | 13h45  |     |  
| 8/11 | 13h45 |       |   
===== Winter 2021-2022 edition: IASD master =====

The course will be held at Mines Paris: 60 Bd. Saint-Michel (Paris 6ème). Classrooms are given in the timetable below.

Each session (except the first) will begin with two hours of lectures, followed by one hour of practical work. The students must bring their laptops with a configured WiFi access to eduroam.

Lessons and notebooks can be downloaded from:

https://cloud.mines-paristech.fr/index.php/s/I1O04oMRIqxbgZD

<note important>
Note that the exam will be held at Dauphine university, **amphithéâtre 9**</note>


=== Timetable ===


| Date  | Time  | Classroom | 
| 12/01 | 8h30-11h45 |    L-224   | 
| 19/01 | 8h30-11h45  |   L-118    |
| 26/01 | 8h30-11h45  |   L-213   |
| 02/02 | 8h30-11h45 |    V-106A   | 
| 09/02 | 8h30-11h45  |   1-L-118    | 
| 16/02 | 8h30-11h45  |   L-316   |
| 23/02 | 8h30-11h45   |   V-106A   | 
| 09/03 | 8h30-11h45  |    L-109   |  
| 23/03 (**exam**) | 10h00-11h30  |   Dauphine, Amphi 9    |  


=== Internships and PhD thesis proposals at Mines Paris - CMM ===

<note important>
[[https://www.cmm.minesparis.psl.eu/en/join-us/|Several internship and PhD positions are available at the CMM. Follow this link to consult them.]]</note>


===== Fall 2021 edition: MINES ParisTech (MP1523/5) =====


=== Timetable ===


| Date  | Time  | Classroom | Teaching assistant |
| 21/09 | 13h45 |  L-218     | Tarek Zenati |
| 28/09 | 13h35 |  L-213     | Mateus Sangalli |
| 05/10 | 13h45 |  L-118    | Daniel Zyss |
| 12/10 | 13h45 |  L-224     | Valentin Penaud-Polge  |
| 20/10 | ** 9h00 ** |   L-109    | Thomas Langrognet |
| 26/10 | 13h45 |   L-109   | Martin Bauw |
| 02/11 | 13h45  |  L-109    |  |
| 9/11 | 13h45 |  L-218     |   |
===== Winter 2020 edition: IASD Master  =====




=== Invited speakers ===

  * Vincent Morard (General Electric) : AI for medical images: an industrial point of view
  * Bruno Figliuzzi (CMM, Mines Paris) : Segmentation d'images de rhéologie par réseaux de neurones convolutionnels
  * Sébastien Lefèvre (IRISA) : Deep Learning in Remote Sensing: Challenges and Results
  * Claire-Hélène Demarty (InterDigital) : Deep Learning for post production in movie industry
  * Camille Breuil et Cédric Meurée (aiVision): L'aide au diagnostic chez aiVision: exemple de la rétinopathie diabétique
  * Diego Tuccillo (Instituto de Astrofisica de Canarias): Deep learning applications in Astronomy
  * Martin Bauw (CMM, Mines Paris): détection d'anomalies
  * Valentin Penaud-Polge (CMM, Mines Paris): couches paramétriques






===== Fall 2020 edition: MINES ParisTech (MP1523/5) =====

=== Travaux pratiques ===


Link to download practical sessions material:

https://filesender.renater.fr/?s=download&token=5e619f45-40cd-4d42-b736-7adb973d5a3b

The following assignments will be available from:

https://tinyurl.com/y3x6andh

===== Winter 2019 edition: IASD Master =====

__Teaching assistants__

  * David Duque
  * Leonardo Gigli
  * Arthur Imbert
  * Tristan Lazard
===== Fall 2019 Edition: ATHENS MP10  =====

__Invited speakers__

  * Marc Huertas (Canaries Astrophysics Institute; Observatoire de Paris)
  * Maximilian Jaritz (Valeo.ai)
  * Olivier Moindrot (Owkin)
  * Bogdan Stanciulescu (CAOR, MINES ParisTech)


__Teaching assistants__

  * Eric Bazan
  * David Duque
  * Leonardo Gigli
  * Arthur Imbert
  * Tristan Lazard


===== Fall 2018 Edition: ATHENS MP10  =====

__Invited speakers__

  * Pierre Fillard (Therapixel)
  * Marc Huertas-Company (Canaries Astrophysics Institute; Observatoire de Paris)
  * Bogdan Stanciulescu (CAOR, MINES ParisTech)
  * Pauline Luc (Facebook AI Research)


__Teaching assistants__

  * Robin Alais
  * Joseph Boyd
  * Leonardo Gigli
  * Peter Naylor
  * Robin Alais